CS 544 Human Abilities

Size: px
Start display at page:

Download "CS 544 Human Abilities"

Transcription

1 CS 544 Human Abilities Color Perception and Guidelines for Design Preattentive Processing Acknowledgement: Some of the material in these lectures is based on material prepared for similar courses by Saul Greenberg (University of Calgary), Ravin Balakrishnan (University of Toronto), James Landay (University of California at Berkeley), monica schraefel (University of Toronto), and Colin Ware (University of New Hampshire). Used with the permission of the respective original authors. 1 UI hall of shame From IBM s RealCD Prompt Button Black on Black? Cool! But you can t see it! click here prompt should not be needed. 2

2 Why study color? Color can be a powerful tool to improve user interfaces, but its inappropriate use can severely reduce the performance of the systems we build 3 Visible Spectrum 4

3 Human Visual System Light passes through lens Focused on retina 5 Retina covered with light-sensitive receptors rods sensitive to broad spectrum of light unable to resolve detail overstimulated in all but the dimmest light can t discriminate between colors sense intensity or shades of gray primarily for night vision & perceiving movement 120 million per eye cones less sensitive to light used to sense color 6 million per eye 6

4 Retina Center of retina (fovea) has most of the cones allows for high acuity of objects focused at center Edge of retina, periphery, is dominated by rods allows detecting motion of threats in periphery 7 Trichromacy theory Cone receptors used to sense color 3 types: blue, green, red (really yellow) each sensitive to different band of spectrum ratio of neural activity of the 3 color other colors are perceived by combining stimulation 8

5 Color Sensitivity Really yellow 9 Distribution of cones Not distributed evenly mainly reds (64%) & very few blues (4%) insensitivity to short wavelengths cyan to deep-blue Center of retina (high acuity) has no blue cones small blue objects you fixate on disappear 10

6 Color Sensitivity & Image Detection Most sensitive to the center of the spectrum blues & reds must be brighter than greens & yellows Brightness determined mainly by R+G Shapes detected by finding edges combine brightness (luminance actually) & color differences for sharpness Implications? hard to deal with blue edges & blue shapes 11 Color Sensitivity (cont.) As we age lens yellows & absorbs shorter wavelengths sensitivity to blue is even more reduced fluid between lens and retina absorbs more light perceive a lower level of brightness Implications Blue text on a dark background to be avoided. We have few shortwavelength sensitive cones in the retina and they are not very sensitive. Older users need brighter colors. Blue text on a dark background to be avoided. We have few shortwavelength sensitive cones in the retina and they are not very sensitive. Older users need brighter colors. 12

7 Focus Different wavelengths of light focused at different distances behind eye s lens need for constant refocusing causes fatigue careful about color combinations Pure (saturated) colors require more focusing then less pure (desaturated) don t use saturated colors in UIs unless you really need something to stand out (stop sign) 13 Peripheral acuity 14 With strict fixation of the center spot, each letter is equally legible because it is about ten times its threshold size. This is true at any viewing distance. Chart shows the increasingly coarse grain of the retinal periphery. Each letter is viewed by an equal area of visual cortex ("cortical magnification factor") (Anstis, S.M., Vision Research 1974)

8 Color Channels Long (red) Med (green) Short (blue) Luminance R-G Y-B 15 Luminance contrast 16 Illustration of simultaneous luminance contrast. The upper row of rectangles are an identical gray. The lower rectangles are a darker gray but also identical.

9 Luminance channel Visual system extracts surface information Discounts illumination level Discounts color of illumination 17 Luminance is not Brightness Luminance refers to the measured amount of light coming from some region of space Receptors bleach and become less sensitive with more light Takes up to half an hour to recover sensitivity We are not light meters Brightness refers to perception of amount of light coming from a source Brightness non linear 18

10 Color blindness Trouble discriminating colors around 9% of population (8% males, 1% females) Different photopigment response reduces capability to discern small color diffs particularly those of low luminance Red-green deficiency is best known lack of either green or red photopigment can t discriminate colors dependent on R & G Color blind acceptable palette? Yellow-blue, and grey variation ok 19 Color components Hue property of the wavelengths of light (i.e., color ) Lightness (or value) how much light appears to be reflected from a surface some hues are inherently lighter or darker Saturation purity of the hue e.g., red is more saturated than pink color is mixture of pure hue & achromatic color portion of pure hue is the degree of saturation 20

11 Color components (cont.) Hue, Saturation, Value (HSV) model from 21 Color components (cont.) Lightness (Value) Saturation from 22

12 Color great for classification Rapid visual segmentation Helps determine type Only about six categories white black red green yellow yellow green blue brown pink purple orange grey 23 Color great for classification (cont.) Scatterplot example 24

13 Color coding/labeling Large areas: low saturation Small areas: high saturation Recommended colors for coding: Widely agreed upon names First 4 + black & white are unique and mark ends of opponent color axes Entire set correspond to most common color names found across cultures Choose from set of first six, then from second set of six 25 Color coding/labeling (cont.) The same rules apply to color coding text and other similar information. Small areas should have high saturation colors. Large areas should be coded with low saturation colors Avoid high saturation colors for large areas Maintain luminance contrast. 26

14 Color guidelines Avoid simultaneous display of highly saturated, spectrally extreme colors e.g., no cyans/blues at the same time as reds, why? refocusing! desaturated combinations are better pastels Opponent colors go well together (red & green) or (yellow & blue) 27 Color guidelines (cont.) Pick non-adjacent colors on hue circle 28

15 Color guidelines (cont.) Size of detectable changes in color varies hard to detect changes in reds, purples, & greens easier to detect changes in yellows & blue-greens Older users need higher luminance levels to distinguish colors Hard to focus on edges created by color alone use both luminance & color differences 29 Color guidelines (cont.) Avoid red & green in the periphery - why? lack of RG cones there yellows & blues work in periphery Avoid pure blue for text, lines, & small shapes blue makes a fine background color avoid adjacent colors that differ only in blue Avoid single-color distinctions mixtures of colors should differ in 2 or 3 colors e.g., 2 colors shouldn t differ only by amount of red helps color-deficient observers 30

16 Perception primitives Whole visual field processed in parallel Can tell us what kinds of information is easily distinguished Popout effects (attention) Segmentation effects (division of the visual field) 31 Machinery of perception A B Parallel processing D of orientation, texture, color and motion features Detection of 2D patterns, contours and regions C Object Identification, Working Memory 32

17 Preattentive processing 10msec or better asdasd asd1fa sd0934-gj ASgg ASDFG sdfkjw osg t y u0sfg98760dSDF SG dfsg r Preattentive processing 10msec or better asdasd asd1fa sd0934-gj ASgg ASDFG sdfkjw osg t y u0sfg98760dSDF SG dfsg r

18 Color 35 Orientation 36

19 Motion 37 Size 38

20 Simple shading 39 Conjunction (does not pop out) 40

21 Compound features (do not pop out) 41 Surrounded colors do not pop out 42

22 More Preattentive channels Shape Length Width Parallelism Enclosure Curvature Spatial grouping Added marks Number 43 Laws of preattentive display Must stand out on some simple dimension color, simple shape = orientation, size motion, depth Lessons for highlighting one of each 44

23 Highlighting Texture Using color Using underlining A flying box leads attention Blinking momentarily attracts attention Motion elicits an orienting response 45 Preattentive conjunctions Stereo and color Color and motion Color and position Shape and position In general: spatial location and some aspect of form (color or shape) 46

24 Preattentive lessons Rapid visual search (10 msec/item) Easy to attend to Makes symbols distinct Based on simple visual attributes Faces, etc are not pre-attentive Rules for making things distinct can be used for individual symbols or areas Do not use large areas of strong color Orthogonality - use a different channel for a different type of information 47 Scale matters Parafovea 48

25 UI hall of shame What is the empty button above MC for? Can t resize Blue for numbers! goes against all we know hard to focus on combined with red eye strain Grey on grey! Difficult for some users Contrast changes after user clicks the buttons! 49

Color, Vision, & Perception. Outline

Color, Vision, & Perception. Outline Color, Vision, & Perception CS 160, Fall 97 Professor James Landay September 24, 1997 9/24/97 1 Outline Administrivia Review Human visual system Color perception Color deficiency Guidelines for design

More information

Overview of Human Cognition and its Impact on User Interface Design (Part 2)

Overview of Human Cognition and its Impact on User Interface Design (Part 2) Overview of Human Cognition and its Impact on User Interface Design (Part 2) Brief Recap Gulf of Evaluation What is the state of the system? Gulf of Execution What specific inputs needed to achieve goals?

More information

Colour, Vision & Perception

Colour, Vision & Perception Colour, Vision & Perception Colour is a matter of Physics (colour) Physiology (vision) Psychology (perception) Colour is a matter of Physics (colour) Physiology (vision) Psychology (perception) Isaac Newton

More information

OPTO 5320 VISION SCIENCE I

OPTO 5320 VISION SCIENCE I OPTO 5320 VISION SCIENCE I Monocular Sensory Processes of Vision: Color Vision Ronald S. Harwerth, OD, PhD Office: Room 2160 Office hours: By appointment Telephone: 713-743-1940 email: rharwerth@uh.edu

More information

Color and Color Model. Chap. 12 Intro. to Computer Graphics, Spring 2009, Y. G. Shin

Color and Color Model. Chap. 12 Intro. to Computer Graphics, Spring 2009, Y. G. Shin Color and Color Model Chap. 12 Intro. to Computer Graphics, Spring 2009, Y. G. Shin Color Interpretation of color is a psychophysiology problem We could not fully understand the mechanism Physical characteristics

More information

Visual Perception. Jeff Avery

Visual Perception. Jeff Avery Visual Perception Jeff Avery Source Chapter 4,5 Designing with Mind in Mind by Jeff Johnson Visual Perception Most user interfaces are visual in nature. So, it is important that we understand the inherent

More information

Slide 1. Slide 2. Slide 3. Light and Colour. Sir Isaac Newton The Founder of Colour Science

Slide 1. Slide 2. Slide 3. Light and Colour. Sir Isaac Newton The Founder of Colour Science Slide 1 the Rays to speak properly are not coloured. In them there is nothing else than a certain Power and Disposition to stir up a Sensation of this or that Colour Sir Isaac Newton (1730) Slide 2 Light

More information

Visual Perception. human perception display devices. CS Visual Perception

Visual Perception. human perception display devices. CS Visual Perception Visual Perception human perception display devices 1 Reference Chapters 4, 5 Designing with the Mind in Mind by Jeff Johnson 2 Visual Perception Most user interfaces are visual in nature. So, it is important

More information

Digital Image Processing

Digital Image Processing Digital Image Processing Lecture # 3 Digital Image Fundamentals ALI JAVED Lecturer SOFTWARE ENGINEERING DEPARTMENT U.E.T TAXILA Email:: ali.javed@uettaxila.edu.pk Office Room #:: 7 Presentation Outline

More information

The human visual system

The human visual system The human visual system Vision and hearing are the two most important means by which humans perceive the outside world. 1 Low-level vision Light is the electromagnetic radiation that stimulates our visual

More information

III: Vision. Objectives:

III: Vision. Objectives: III: Vision Objectives: Describe the characteristics of visible light, and explain the process by which the eye transforms light energy into neural. Describe how the eye and the brain process visual information.

More information

Retina. Convergence. Early visual processing: retina & LGN. Visual Photoreptors: rods and cones. Visual Photoreptors: rods and cones.

Retina. Convergence. Early visual processing: retina & LGN. Visual Photoreptors: rods and cones. Visual Photoreptors: rods and cones. Announcements 1 st exam (next Thursday): Multiple choice (about 22), short answer and short essay don t list everything you know for the essay questions Book vs. lectures know bold terms for things that

More information

Digital Image Processing. Lecture # 8 Color Processing

Digital Image Processing. Lecture # 8 Color Processing Digital Image Processing Lecture # 8 Color Processing 1 COLOR IMAGE PROCESSING COLOR IMAGE PROCESSING Color Importance Color is an excellent descriptor Suitable for object Identification and Extraction

More information

Seeing and Perception. External features of the Eye

Seeing and Perception. External features of the Eye Seeing and Perception Deceives the Eye This is Madness D R Campbell School of Computing University of Paisley 1 External features of the Eye The circular opening of the iris muscles forms the pupil, which

More information

We have already discussed retinal structure and organization, as well as the photochemical and electrophysiological basis for vision.

We have already discussed retinal structure and organization, as well as the photochemical and electrophysiological basis for vision. LECTURE 4 SENSORY ASPECTS OF VISION We have already discussed retinal structure and organization, as well as the photochemical and electrophysiological basis for vision. At the beginning of the course,

More information

Spectral colors. What is colour? 11/23/17. Colour Vision 1 - receptoral. Colour Vision I: The receptoral basis of colour vision

Spectral colors. What is colour? 11/23/17. Colour Vision 1 - receptoral. Colour Vision I: The receptoral basis of colour vision Colour Vision I: The receptoral basis of colour vision Colour Vision 1 - receptoral What is colour? Relating a physical attribute to sensation Principle of Trichromacy & metamers Prof. Kathy T. Mullen

More information

AP PSYCH Unit 4.2 Vision 1. How does the eye transform light energy into neural messages? 2. How does the brain process visual information? 3.

AP PSYCH Unit 4.2 Vision 1. How does the eye transform light energy into neural messages? 2. How does the brain process visual information? 3. AP PSYCH Unit 4.2 Vision 1. How does the eye transform light energy into neural messages? 2. How does the brain process visual information? 3. What theories help us understand color vision? 4. Is your

More information

Image and video processing (EBU723U) Colour Images. Dr. Yi-Zhe Song

Image and video processing (EBU723U) Colour Images. Dr. Yi-Zhe Song Image and video processing () Colour Images Dr. Yi-Zhe Song yizhe.song@qmul.ac.uk Today s agenda Colour spaces Colour images PGM/PPM images Today s agenda Colour spaces Colour images PGM/PPM images History

More information

CSE440: Introduction to HCI

CSE440: Introduction to HCI CSE440: Introduction to HCI Methods for Design, Prototyping and Evaluating User Interaction Lecture 07: Human Performance Nigini Oliveira Manaswi Saha Liang He Jian Li Zheng Jeremy Viny What we will do

More information

Digital Image Processing

Digital Image Processing Digital Image Processing IMAGE PERCEPTION & ILLUSION Hamid R. Rabiee Fall 2015 Outline 2 What is color? Image perception Color matching Color gamut Color balancing Illusions What is Color? 3 Visual perceptual

More information

CS 565 Computer Vision. Nazar Khan PUCIT Lecture 4: Colour

CS 565 Computer Vision. Nazar Khan PUCIT Lecture 4: Colour CS 565 Computer Vision Nazar Khan PUCIT Lecture 4: Colour Topics to be covered Motivation for Studying Colour Physical Background Biological Background Technical Colour Spaces Motivation Colour science

More information

Colour + Perception. CMPT 467/767 Visualization Torsten Möller. Pfister/Möller

Colour + Perception. CMPT 467/767 Visualization Torsten Möller. Pfister/Möller Colour + Perception CMPT 467/767 Visualization Torsten Möller Recommended Reading http://www.stonesc.com/ 2 Where / What 3 Based on slide from Mazur Contours & Texture C. Ware, Visual Thinking for Design

More information

Question From Last Class

Question From Last Class Question From Last Class What is it about matter that determines its color? e.g., what's the difference between a surface that reflects only long wavelengths (reds) and a surfaces the reflects only medium

More information

Visibility, Performance and Perception. Cooper Lighting

Visibility, Performance and Perception. Cooper Lighting Visibility, Performance and Perception Kenneth Siderius BSc, MIES, LC, LG Cooper Lighting 1 Vision It has been found that the ability to recognize detail varies with respect to four physical factors: 1.Contrast

More information

Human Visual System. Prof. George Wolberg Dept. of Computer Science City College of New York

Human Visual System. Prof. George Wolberg Dept. of Computer Science City College of New York Human Visual System Prof. George Wolberg Dept. of Computer Science City College of New York Objectives In this lecture we discuss: - Structure of human eye - Mechanics of human visual system (HVS) - Brightness

More information

Achromatic and chromatic vision, rods and cones.

Achromatic and chromatic vision, rods and cones. Achromatic and chromatic vision, rods and cones. Andrew Stockman NEUR3045 Visual Neuroscience Outline Introduction Rod and cone vision Rod vision is achromatic How do we see colour with cone vision? Vision

More information

Our Color Vision is Limited

Our Color Vision is Limited CHAPTER Our Color Vision is Limited 5 Human color perception has both strengths and limitations. Many of those strengths and limitations are relevant to user interface design: l Our vision is optimized

More information

Geography 360 Principles of Cartography. April 24, 2006

Geography 360 Principles of Cartography. April 24, 2006 Geography 360 Principles of Cartography April 24, 2006 Outlines 1. Principles of color Color as physical phenomenon Color as physiological phenomenon 2. How is color specified? (color model) Hardware-oriented

More information

Lecture 8. Human Information Processing (1) CENG 412-Human Factors in Engineering May

Lecture 8. Human Information Processing (1) CENG 412-Human Factors in Engineering May Lecture 8. Human Information Processing (1) CENG 412-Human Factors in Engineering May 30 2009 1 Outline Visual Sensory systems Reading Wickens pp. 61-91 2 Today s story: Textbook page 61. List the vision-related

More information

Sensation. Our sensory and perceptual processes work together to help us sort out complext processes

Sensation. Our sensory and perceptual processes work together to help us sort out complext processes Sensation Our sensory and perceptual processes work together to help us sort out complext processes Sensation Bottom-Up Processing analysis that begins with the sense receptors and works up to the brain

More information

Psych 333, Winter 2008, Instructor Boynton, Exam 1

Psych 333, Winter 2008, Instructor Boynton, Exam 1 Name: Class: Date: Psych 333, Winter 2008, Instructor Boynton, Exam 1 Multiple Choice There are 35 multiple choice questions worth one point each. Identify the letter of the choice that best completes

More information

Colour. Cunliffe & Elliott, Chapter 8 Chapman & Chapman, Digital Multimedia, Chapter 5. Autumn 2016 University of Stirling

Colour. Cunliffe & Elliott, Chapter 8 Chapman & Chapman, Digital Multimedia, Chapter 5. Autumn 2016 University of Stirling CSCU9N5: Multimedia and HCI 1 Colour What is colour? Human-centric view of colour Computer-centric view of colour Colour models Monitor production of colour Accurate colour reproduction Cunliffe & Elliott,

More information

Comp/Phys/Apsc 715. Example Videos. Administrative 1/23/2014. Lecture 5: Trichromacy, Color Spaces, Properties of Color

Comp/Phys/Apsc 715. Example Videos. Administrative 1/23/2014. Lecture 5: Trichromacy, Color Spaces, Properties of Color Comp/Phys/Apsc 715 Lecture 5: Trichromacy, Color Spaces, Properties of Color 1 Example Videos Segmentation and visualization of neurons Astro Visualization (the Millennium Run) Dragonfly Flight Analysis

More information

Color Theory. Additive Color

Color Theory. Additive Color Color Theory A primary color is a color that cannot be made from a combination of any other colors. A secondary color is a color created from a combination of two primary colors. Tertiary color is a combination

More information

Digital Image Processing. Lecture # 6 Corner Detection & Color Processing

Digital Image Processing. Lecture # 6 Corner Detection & Color Processing Digital Image Processing Lecture # 6 Corner Detection & Color Processing 1 Corners Corners (interest points) Unlike edges, corners (patches of pixels surrounding the corner) do not necessarily correspond

More information

Marks + Channels. Large Data Visualization Torsten Möller. Munzner/Möller

Marks + Channels. Large Data Visualization Torsten Möller. Munzner/Möller Marks + Channels Large Data Visualization Torsten Möller Overview Marks + channels Channel effectiveness Accuracy Discriminability Separability Popout Channel characteristics Spatial position Colour Size

More information

Additive. Subtractive

Additive. Subtractive Physics 106 Additive Subtractive Subtractive Mixing Rules: Mixing Cyan + Magenta, one gets Blue Mixing Cyan + Yellow, one gets Green Mixing Magenta + Yellow, one gets Red Mixing any two of the Blue, Red,

More information

excite the cones in the same way.

excite the cones in the same way. Humans have 3 kinds of cones Color vision Edward H. Adelson 9.35 Trichromacy To specify a light s spectrum requires an infinite set of numbers. Each cone gives a single number (univariance) when stimulated

More information

COLOR and the human response to light

COLOR and the human response to light COLOR and the human response to light Contents Introduction: The nature of light The physiology of human vision Color Spaces: Linear Artistic View Standard Distances between colors Color in the TV 2 How

More information

Why Should We Be Interested In Visualization. Intro to Human Visual System and Displays. Basic Pathways. Perceptual versus Cultural A B C D

Why Should We Be Interested In Visualization. Intro to Human Visual System and Displays. Basic Pathways. Perceptual versus Cultural A B C D Intro to Human Visual System and Displays Fundamental Optics Fovea Perception These slides were developed by Colin Ware, Univ. of New Hampshire Why Should We Be Interested In Visualization Hi bandwidth

More information

Communicating Color. Courtesy of: X-Rite Inc Street SE Grand Rapids MI (616)

Communicating Color. Courtesy of: X-Rite Inc Street SE Grand Rapids MI (616) Communicating Color Courtesy of: X-Rite Inc 4300 44 Street SE Grand Rapids MI (616) 803-2000 What is Color? Color Perception What influences the perception of color? 1. light source 2. object being viewed

More information

The Special Senses: Vision

The Special Senses: Vision OLLI Lecture 5 The Special Senses: Vision Vision The eyes are the sensory organs for vision. They collect light waves through their photoreceptors (located in the retina) and transmit them as nerve impulses

More information

the human chapter 1 Traffic lights the human User-centred Design Light Vision part 1 (modified extract for AISD 2005) Information i/o

the human chapter 1 Traffic lights the human User-centred Design Light Vision part 1 (modified extract for AISD 2005) Information i/o Traffic lights chapter 1 the human part 1 (modified extract for AISD 2005) http://www.baddesigns.com/manylts.html User-centred Design Bad design contradicts facts pertaining to human capabilities Usability

More information

Physiology of Vision The Eye as a Sense Organ. Rodolfo T. Rafael,M.D. Topics

Physiology of Vision The Eye as a Sense Organ. Rodolfo T. Rafael,M.D. Topics Physiology of Vision The Eye as a Sense Organ Rodolfo T. Rafael,M.D. www.clinicacayanga.dailyhealthupdates.com 1 Topics Perception of Light Perception of Color Visual Fields Perception of Movements of

More information

Color Science. CS 4620 Lecture 15

Color Science. CS 4620 Lecture 15 Color Science CS 4620 Lecture 15 2013 Steve Marschner 1 [source unknown] 2013 Steve Marschner 2 What light is Light is electromagnetic radiation exists as oscillations of different frequency (or, wavelength)

More information

Color. Bilkent University. CS554 Computer Vision Pinar Duygulu

Color. Bilkent University. CS554 Computer Vision Pinar Duygulu 1 Color CS 554 Computer Vision Pinar Duygulu Bilkent University 2 What is light? Electromagnetic radiation (EMR) moving along rays in space R(λ) is EMR, measured in units of power (watts) λ is wavelength

More information

Lecture 4 Foundations and Cognitive Processes in Visual Perception From the Retina to the Visual Cortex

Lecture 4 Foundations and Cognitive Processes in Visual Perception From the Retina to the Visual Cortex Lecture 4 Foundations and Cognitive Processes in Visual Perception From the Retina to the Visual Cortex 1.Vision Science 2.Visual Performance 3.The Human Visual System 4.The Retina 5.The Visual Field and

More information

For a long time I limited myself to one color as a form of discipline. Pablo Picasso. Color Image Processing

For a long time I limited myself to one color as a form of discipline. Pablo Picasso. Color Image Processing For a long time I limited myself to one color as a form of discipline. Pablo Picasso Color Image Processing 1 Preview Motive - Color is a powerful descriptor that often simplifies object identification

More information

Human Visual System. Digital Image Processing. Digital Image Fundamentals. Structure Of The Human Eye. Blind-Spot Experiment.

Human Visual System. Digital Image Processing. Digital Image Fundamentals. Structure Of The Human Eye. Blind-Spot Experiment. Digital Image Processing Digital Imaging Fundamentals Christophoros Nikou cnikou@cs.uoi.gr 4 Human Visual System The best vision model we have! Knowledge of how images form in the eye can help us with

More information

Digital Image Processing

Digital Image Processing Digital Image Processing Digital Imaging Fundamentals Christophoros Nikou cnikou@cs.uoi.gr Images taken from: R. Gonzalez and R. Woods. Digital Image Processing, Prentice Hall, 2008. Digital Image Processing

More information

What is Color. Color is a fundamental attribute of human visual perception.

What is Color. Color is a fundamental attribute of human visual perception. Color What is Color Color is a fundamental attribute of human visual perception. By fundamental we mean that it is so unique that its meaning cannot be fully appreciated without direct experience. How

More information

Colour. Why/How do we perceive colours? Electromagnetic Spectrum (1: visible is very small part 2: not all colours are present in the rainbow!

Colour. Why/How do we perceive colours? Electromagnetic Spectrum (1: visible is very small part 2: not all colours are present in the rainbow! Colour What is colour? Human-centric view of colour Computer-centric view of colour Colour models Monitor production of colour Accurate colour reproduction Colour Lecture (2 lectures)! Richardson, Chapter

More information

Digital Image Processing COSC 6380/4393. Lecture 20 Oct 25 th, 2018 Pranav Mantini

Digital Image Processing COSC 6380/4393. Lecture 20 Oct 25 th, 2018 Pranav Mantini Digital Image Processing COSC 6380/4393 Lecture 20 Oct 25 th, 2018 Pranav Mantini What is color? Color is a psychological property of our visual experiences when we look at objects and lights, not a physical

More information

COLOR. and the human response to light

COLOR. and the human response to light COLOR and the human response to light Contents Introduction: The nature of light The physiology of human vision Color Spaces: Linear Artistic View Standard Distances between colors Color in the TV 2 Amazing

More information

Colors in Images & Video

Colors in Images & Video LECTURE 8 Colors in Images & Video CS 5513 Multimedia Systems Spring 2009 Imran Ihsan Principal Design Consultant OPUSVII www.opuseven.com Faculty of Engineering & Applied Sciences 1. Light and Spectra

More information

Image Processing for Mechatronics Engineering For senior undergraduate students Academic Year 2017/2018, Winter Semester

Image Processing for Mechatronics Engineering For senior undergraduate students Academic Year 2017/2018, Winter Semester Image Processing for Mechatronics Engineering For senior undergraduate students Academic Year 2017/2018, Winter Semester Lecture 8: Color Image Processing 04.11.2017 Dr. Mohammed Abdel-Megeed Salem Media

More information

Color Science. What light is. Measuring light. CS 4620 Lecture 15. Salient property is the spectral power distribution (SPD)

Color Science. What light is. Measuring light. CS 4620 Lecture 15. Salient property is the spectral power distribution (SPD) Color Science CS 4620 Lecture 15 1 2 What light is Measuring light Light is electromagnetic radiation Salient property is the spectral power distribution (SPD) [Lawrence Berkeley Lab / MicroWorlds] exists

More information

Adapted from the Slides by Dr. Mike Bailey at Oregon State University

Adapted from the Slides by Dr. Mike Bailey at Oregon State University Colors in Visualization Adapted from the Slides by Dr. Mike Bailey at Oregon State University The often scant benefits derived from coloring data indicate that even putting a good color in a good place

More information

Color & Graphics. Color & Vision. The complete display system is: We'll talk about: Model Frame Buffer Screen Eye Brain

Color & Graphics. Color & Vision. The complete display system is: We'll talk about: Model Frame Buffer Screen Eye Brain Color & Graphics The complete display system is: Model Frame Buffer Screen Eye Brain Color & Vision We'll talk about: Light Visions Psychophysics, Colorimetry Color Perceptually based models Hardware models

More information

Low Vision Assessment Components Job Aid 1

Low Vision Assessment Components Job Aid 1 Low Vision Assessment Components Job Aid 1 Eye Dominance Often called eye dominance, eyedness, or seeing through the eye, is the tendency to prefer visual input a particular eye. It is similar to the laterality

More information

Multimedia Systems Color Space Mahdi Amiri March 2012 Sharif University of Technology

Multimedia Systems Color Space Mahdi Amiri March 2012 Sharif University of Technology Course Presentation Multimedia Systems Color Space Mahdi Amiri March 2012 Sharif University of Technology Physics of Color Light Light or visible light is the portion of electromagnetic radiation that

More information

Colour. Electromagnetic Spectrum (1: visible is very small part 2: not all colours are present in the rainbow!) Colour Lecture!

Colour. Electromagnetic Spectrum (1: visible is very small part 2: not all colours are present in the rainbow!) Colour Lecture! Colour Lecture! ITNP80: Multimedia 1 Colour What is colour? Human-centric view of colour Computer-centric view of colour Colour models Monitor production of colour Accurate colour reproduction Richardson,

More information

THE SCIENCE OF COLOUR

THE SCIENCE OF COLOUR THE SCIENCE OF COLOUR Colour can be described as a light wavelength coming from a light source striking the surface of an object which in turns reflects the incoming light from were it is received by the

More information

DIGITAL IMAGE PROCESSING LECTURE # 4 DIGITAL IMAGE FUNDAMENTALS-I

DIGITAL IMAGE PROCESSING LECTURE # 4 DIGITAL IMAGE FUNDAMENTALS-I DIGITAL IMAGE PROCESSING LECTURE # 4 DIGITAL IMAGE FUNDAMENTALS-I 4 Topics to Cover Light and EM Spectrum Visual Perception Structure Of Human Eyes Image Formation on the Eye Brightness Adaptation and

More information

PSY 214 Lecture # (09/14/2011) (Introduction to Vision) Dr. Achtman PSY 214. Lecture 4 Topic: Introduction to Vision Chapter 3, pages 44-54

PSY 214 Lecture # (09/14/2011) (Introduction to Vision) Dr. Achtman PSY 214. Lecture 4 Topic: Introduction to Vision Chapter 3, pages 44-54 Corrections: A correction needs to be made to NTCO3 on page 3 under excitatory transmitters. It is possible to excite a neuron without sending information to another neuron. For example, in figure 2.12

More information

Color Perception and Applications. Penny Rheingans University of Maryland Baltimore County. Overview

Color Perception and Applications. Penny Rheingans University of Maryland Baltimore County. Overview Color Perception and Applications SIGGRAPH 99 Course: Fundamental Issues of Visual Perception for Effective Image Generation Penny Rheingans University of Maryland Baltimore County Overview Characteristics

More information

HW- Finish your vision book!

HW- Finish your vision book! March 1 Table of Contents: 77. March 1 & 2 78. Vision Book Agenda: 1. Daily Sheet 2. Vision Notes and Discussion 3. Work on vision book! EQ- How does vision work? Do Now 1.Find your Vision Sensation fill-in-theblanks

More information

Color. Maneesh Agrawala Jessica Hullman. CS : Visualization Fall Assignment 3: Visualization Software

Color. Maneesh Agrawala Jessica Hullman. CS : Visualization Fall Assignment 3: Visualization Software Color Maneesh Agrawala Jessica Hullman CS 294-10: Visualization Fall 2014 Assignment 3: Visualization Software Create a small interactive visualization application you choose data domain and visualization

More information

Vision IV. Overview of Topics. Overview of Topics. Colour Vision

Vision IV. Overview of Topics. Overview of Topics. Colour Vision Vision IV Colour Vision Chapter 11 in Chaudhuri 1 1 Overview of Topics Overview of Topics "Avoid vertebrates because they are too complicated, avoid colour vision because it is much too complicated, and

More information

H10: Description of Colour

H10: Description of Colour page 1 of 7 H10: Description of Colour Appearance of objects and materials Appearance attributes can be split into primary and secondary parts, as shown in Table 1. Table 1: The attributes of the appearance

More information

Perception to visualization I

Perception to visualization I Perception to visualization I C. Andrews 2014-02-25 Visualization Pipeline Raw Data data tables visual structures visualization data transformations visual mappings view transformations user interaction

More information

Capturing Light in man and machine

Capturing Light in man and machine Capturing Light in man and machine CS194: Image Manipulation & Computational Photography Alexei Efros, UC Berkeley, Fall 2015 Etymology PHOTOGRAPHY light drawing / writing Image Formation Digital Camera

More information

Human Vision, Color and Basic Image Processing

Human Vision, Color and Basic Image Processing Human Vision, Color and Basic Image Processing Connelly Barnes CS4810 University of Virginia Acknowledgement: slides by Jason Lawrence, Misha Kazhdan, Allison Klein, Tom Funkhouser, Adam Finkelstein and

More information

Using Color in Scientific Visualization

Using Color in Scientific Visualization Using Color in Scientific Visualization Mike Bailey The often scant benefits derived from coloring data indicate that even putting a good color in a good place is a complex matter. Indeed, so difficult

More information

Capturing Light in man and machine

Capturing Light in man and machine Capturing Light in man and machine CS194: Image Manipulation & Computational Photography Alexei Efros, UC Berkeley, Fall 2014 Etymology PHOTOGRAPHY light drawing / writing Image Formation Digital Camera

More information

Digital Image Processing

Digital Image Processing Digital Image Processing Digital Imaging Fundamentals Christophoros Nikou cnikou@cs.uoi.gr Images taken from: R. Gonzalez and R. Woods. Digital Image Processing, Prentice Hall, 2008. Digital Image Processing

More information

Introduction. The Spectral Basis for Color

Introduction. The Spectral Basis for Color Introduction Color is an extremely important part of most visualizations. Choosing good colors for your visualizations involves understanding their properties and the perceptual characteristics of human

More information

Contrast, Luminance and Colour

Contrast, Luminance and Colour Contrast, Luminance and Colour Week 3 Lecture 1 IAT 814 Lyn Bartram Some of these slides have been borrowed and adapted from Maureen Stone and Colin Ware What is gray? Colour space is 3 dimensions 1 achromatic

More information

Digital Image Processing (DIP)

Digital Image Processing (DIP) University of Kurdistan Digital Image Processing (DIP) Lecture 6: Color Image Processing Instructor: Kaveh Mollazade, Ph.D. Department of Biosystems Engineering, Faculty of Agriculture, University of Kurdistan,

More information

CSE1710. Big Picture. Reminder

CSE1710. Big Picture. Reminder CSE1710 Click to edit Master Week text 10, styles Lecture 19 Second level Third level Fourth level Fifth level Fall 2013 Thursday, Nov 14, 2013 1 Big Picture For the next three class meetings, we will

More information

Vision and Color. Reading. Optics, cont d. Lenses. d d f. Brian Curless CSEP 557 Fall Good resources:

Vision and Color. Reading. Optics, cont d. Lenses. d d f. Brian Curless CSEP 557 Fall Good resources: Reading Good resources: Vision and Color Brian Curless CSEP 557 Fall 2016 Glassner, Principles of Digital Image Synthesis, pp. 5-32. Palmer, Vision Science: Photons to Phenomenology. Wandell. Foundations

More information

Vision and Color. Brian Curless CSEP 557 Fall 2016

Vision and Color. Brian Curless CSEP 557 Fall 2016 Vision and Color Brian Curless CSEP 557 Fall 2016 1 Reading Good resources: Glassner, Principles of Digital Image Synthesis, pp. 5-32. Palmer, Vision Science: Photons to Phenomenology. Wandell. Foundations

More information

Further reading. 1. Visual perception. Restricting the light. Forming an image. Angel, section 1.4

Further reading. 1. Visual perception. Restricting the light. Forming an image. Angel, section 1.4 Further reading Angel, section 1.4 Glassner, Principles of Digital mage Synthesis, sections 1.1-1.6. 1. Visual perception Spencer, Shirley, Zimmerman, and Greenberg. Physically-based glare effects for

More information

Lecture 2 Digital Image Fundamentals. Lin ZHANG, PhD School of Software Engineering Tongji University Fall 2016

Lecture 2 Digital Image Fundamentals. Lin ZHANG, PhD School of Software Engineering Tongji University Fall 2016 Lecture 2 Digital Image Fundamentals Lin ZHANG, PhD School of Software Engineering Tongji University Fall 2016 Contents Elements of visual perception Light and the electromagnetic spectrum Image sensing

More information

Digital Image Fundamentals. Digital Image Processing. Human Visual System. Contents. Structure Of The Human Eye (cont.) Structure Of The Human Eye

Digital Image Fundamentals. Digital Image Processing. Human Visual System. Contents. Structure Of The Human Eye (cont.) Structure Of The Human Eye Digital Image Processing 2 Digital Image Fundamentals Digital Imaging Fundamentals Christophoros Nikou cnikou@cs.uoi.gr Those who wish to succeed must ask the right preliminary questions Aristotle Images

More information

iris pupil cornea ciliary muscles accommodation Retina Fovea blind spot

iris pupil cornea ciliary muscles accommodation Retina Fovea blind spot Chapter 6 Vision Exam 1 Anatomy of vision Primary visual cortex (striate cortex, V1) Prestriate cortex, Extrastriate cortex (Visual association coretx ) Second level association areas in the temporal and

More information

Visual Perception. Overview. The Eye. Information Processing by Human Observer

Visual Perception. Overview. The Eye. Information Processing by Human Observer Visual Perception Spring 06 Instructor: K. J. Ray Liu ECE Department, Univ. of Maryland, College Park Overview Last Class Introduction to DIP/DVP applications and examples Image as a function Concepts

More information

Digital Image Fundamentals. Digital Image Processing. Human Visual System. Contents. Structure Of The Human Eye (cont.) Structure Of The Human Eye

Digital Image Fundamentals. Digital Image Processing. Human Visual System. Contents. Structure Of The Human Eye (cont.) Structure Of The Human Eye Digital Image Processing 2 Digital Image Fundamentals Digital Imaging Fundamentals Christophoros Nikou cnikou@cs.uoi.gr Images taken from: R. Gonzalez and R. Woods. Digital Image Processing, Prentice Hall,

More information

The best retinal location"

The best retinal location How many photons are required to produce a visual sensation? Measurement of the Absolute Threshold" In a classic experiment, Hecht, Shlaer & Pirenne (1942) created the optimum conditions: -Used the best

More information

Bettina Selig. Centre for Image Analysis. Swedish University of Agricultural Sciences Uppsala University

Bettina Selig. Centre for Image Analysis. Swedish University of Agricultural Sciences Uppsala University 2011-10-26 Bettina Selig Centre for Image Analysis Swedish University of Agricultural Sciences Uppsala University 2 Electromagnetic Radiation Illumination - Reflection - Detection The Human Eye Digital

More information

Digital Image Processing

Digital Image Processing Part 1: Course Introduction Achim J. Lilienthal AASS Learning Systems Lab, Dep. Teknik Room T1209 (Fr, 11-12 o'clock) achim.lilienthal@oru.se Course Book Chapters 1 & 2 2011-04-05 Contents 1. Introduction

More information

Computers and Imaging

Computers and Imaging Computers and Imaging Telecommunications 1 P. Mathys Two Different Methods Vector or object-oriented graphics. Images are generated by mathematical descriptions of line (vector) segments. Bitmap or raster

More information

Digital Image Processing

Digital Image Processing Digital Image Processing Digital Imaging Fundamentals Christophoros Nikou cnikou@cs.uoi.gr Images taken from: R. Gonzalez and R. Woods. Digital Image Processing, Prentice Hall, 2008. Digital Image Processing

More information

Why is blue tinted backlight better?

Why is blue tinted backlight better? Why is blue tinted backlight better? L. Paget a,*, A. Scott b, R. Bräuer a, W. Kupper a, G. Scott b a Siemens Display Technologies, Marketing and Sales, Karlsruhe, Germany b Siemens Display Technologies,

More information

Frequencies and Color

Frequencies and Color Frequencies and Color Alexei Efros, CS280, Spring 2018 Salvador Dali Gala Contemplating the Mediterranean Sea, which at 30 meters becomes the portrait of Abraham Lincoln, 1976 Spatial Frequencies and

More information

Vision and Color. Reading. Optics, cont d. Lenses. d d f. Brian Curless CSE 557 Autumn Good resources:

Vision and Color. Reading. Optics, cont d. Lenses. d d f. Brian Curless CSE 557 Autumn Good resources: Reading Good resources: Vision and Color Brian Curless CSE 557 Autumn 2015 Glassner, Principles of Digital Image Synthesis, pp. 5-32. Palmer, Vision Science: Photons to Phenomenology. Wandell. Foundations

More information

Vision and Color. Brian Curless CSE 557 Autumn 2015

Vision and Color. Brian Curless CSE 557 Autumn 2015 Vision and Color Brian Curless CSE 557 Autumn 2015 1 Reading Good resources: Glassner, Principles of Digital Image Synthesis, pp. 5-32. Palmer, Vision Science: Photons to Phenomenology. Wandell. Foundations

More information

SEEING. Seeing lecture 2 The retina and colour vision. Dr John S. Reid Department of Physics University of Aberdeen

SEEING. Seeing lecture 2 The retina and colour vision. Dr John S. Reid Department of Physics University of Aberdeen SEEING Seeing lecture 2 The retina and colour vision Dr John S. Reid Department of Physics University of Aberdeen 1 The retina Forming an image on the back of the eye is the easy part. Seeing the image

More information

Color and perception Christian Miller CS Fall 2011

Color and perception Christian Miller CS Fall 2011 Color and perception Christian Miller CS 354 - Fall 2011 A slight detour We ve spent the whole class talking about how to put images on the screen What happens when we look at those images? Are there any

More information

Mahdi Amiri. March Sharif University of Technology

Mahdi Amiri. March Sharif University of Technology Course Presentation Multimedia Systems Color Space Mahdi Amiri March 2014 Sharif University of Technology The wavelength λ of a sinusoidal waveform traveling at constant speed ν is given by Physics of

More information