White light can be split into constituent wavelengths (or colors) using a prism or a grating.

Size: px
Start display at page:

Download "White light can be split into constituent wavelengths (or colors) using a prism or a grating."

Transcription

1 Colors and the perception of colors Visible light is only a small member of the family of electromagnetic (EM) waves. The wavelengths of EM waves that we can observe using many different devices span from tens of kilometers (long radio waves) to picometers (gamma rays, i.e., EM radiation produced by radioactive nuclei). The range of wavelengths we can see by our eyes is relatively narrow, spanning from about 700 nm (red color to about 400 nm (violet light). If light is a mixture of all wavelengths from this range, we see it as white. White light can be split into constituent wavelengths (or colors) using a prism or a grating.

2 Most of the cones are located in the retina s central area (the macula). In addition to the cones, in retina there are also cells called rods. Many rods are located in the macula, and even more in the peripheral regions of the retina. We can see colors because the retina i.e., the light-sensitive organ in our eyes contains photosensitive cell (called cones ) of three types: one is most sensitive to red light, another to green light, and the third type to blue light.

3 Rods and cones in the retina:

4 Rods are the night-vision cells. They are activated in low light conditions. However, thy are not sensitive to colors. Therefore, a landscape viewed in moonlight seems gray. Actually, the colors are the same as in daylight. We cannot see them, but cameras can! This picture was taken at 10 pm in February 2007, at full moonlight, using a very long exposure time. Tiny Specs In the sky are stars.

5 Another picture takes the same night as that in the preceding slide. The peak right from the center is Mary s Peak. The spots in the lower part are bright windows of residential houses.

6 What causes the well-known red-eye effect in flash pictures? This is nothing else than the color of the retina! The retina needs much blood, which is supplied to it by a dense web of tiny blood vessels. Therefore, the red color.

7 However, there is no red-eye effect in flash pictures of many animals. In contrast, their eyes seem to backreflect the flash. This is the same effects as the eyeshine you can see if you drive on a rural highway in the night, and a cat or a dog caught in your headlights looks toward the approaching car.

8 The eyeshine effect is caused by an extra layer of special tissue called tapetum lucidum that is located behind the retina of many animals especially, nocturnal animals. The tapetum lucidum act as a backreflecting mirror. Most primates i.e., members of the biological order we belong to do not have tapetum lucidum. Lemurs small cat-like nocturnal primates, unique to the island of Madagascar, are an exception. Humans and diurnal animals do not have tapetum lucidum in their eyes. Most bird species do not have it owls are an exception. But nocturnal animals carnivores in particular -- need to see well their prey in low light condition, and tapetum lucidum does enhance their nightime vision can you explain how? (if you missed the lecture at which we talked about that, you may find an explanation in this webpage).

9 The sensitivity of the three types of human retina cones to light of different wavelengths from the visible region. Note that there is another smaller maximum for the red cones in the violet region. It causes that violet light looks somewhat reddish to us. From the curves one can read the relative strength of the signal passed to the brain for a given wavelength. A triad of such numbers is called the tristimulus values.

10 The RGB color scheme fundamentals: Let s take three pure (monochromatic) colors corresponding to the maximum sensitivity of the three cone types: 600 nm 546 nm 436 nm When projected on one screen, the area where all three colors merge appears white. The fusion of red and blue produces magenta, blue and green cyan, and green and red yellow. One can also say: red + cyan = white, blue + yellow = white, green + magenta = white. Such pairs: red-cyan, blue-yellow, green-magenta are called complementary colors (they are not the only complementary color pairs).

11 The preceding slide showed the results of mixing (or adding) primary colors, each of which had 100% intensity. But one can add colors with any intensity proportions! (e.g., 80% red, 45% green, and 23% blue). This is the idea of a color scheme, known as RGB, widely used in computer graphics. However, in the practical RGB scheme, instead of 0 100% scale, one uses a scale (corresponding to a Byte, i.e., a binary number of 8 Bits). So, for instance, 80% translates to 255x(80/100) = 204. The color in the above example is then encoded as 204, 115, 59. The best way of demonstrating how it works is to use one of the many available Web on-line RGB generators. Link to an on-line generator of RGB color schemes

12 In the simple figure with the mixing of the three primary colors (a.k.a. the primes -- red, green and blue) there are only eight colors altogether (the three primes, three complementary to the primes, white, and black. In the RGB scheme white is 255, 255, 255, black is 0, 0, 0, cyan is 0, 255, 255, and so on. But since we can use the scale, the total number of available colors is (256) 3 = 16.7 million! However, RGB is only one of the possible schemes of describing colors. Another, no less popular, is the one called HSB or HSV, where H stands for Hue, S for Saturation, and B for brightness (or V for Value ). The idea of the HSB (HSV) scheme is explained in the next slide.

13 Next, arrange the three primes in a circle. Then, insert the complementary colors in between. Next, merge the primes with the adjacent complementary colors to obtain more pie chunks (red plus yellow yield orange, and so on) keep doing that until you get a continuous distribution of colors. Such a figure is called the RGB Color Wheel. Begin with the familiar figure: Now, in order to describe the colors, one has to introduce a numerical scale. Most often a scale is used, with 0 at the top red, and the angle incrementing clockwise. So, e.g., yellow is 60, pure green 120, cyan 180, and so on. And this angular value is called the hue of a given color.

14 Brightnes (or Value): you can think of it as an admixture of gray to your color described by H and S. 0% is total blackness. It s an analog of the brightness in grayscale graphics ( black and white pictures ) for a color scale. Saturation: at the center of the color wheel, all colors merge to form white. So, the closer to the center you go, the more white component is admixed to the color or, one can say, the more The color is de-saturated. Colors on the rim have 100% saturation, white = 0% saturation. Brightness, in the HSB color scheme: 0% 100% Brightness, in grayscale ( black and white ) scheme: 0% 100%

15 RGB generator & RGB <-> HSV converter Decimal to hexadecimal conversion table Fancy on-line HSB color picker with convenient mouse-operated number inputs RGB HSB generator/converter A sophisticated HSB tool, with the names of colors created the angle changes counterclockwise

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

The topics are listed below not exactly in the same order as they were presented in class but all relevant topics are on the list!

The topics are listed below not exactly in the same order as they were presented in class but all relevant topics are on the list! Ph332, Fall 2018 Study guide for the final exam, Part Two: (material lectured before the Nov. 1 midterm test, but not used in that test, and the material lectured after the Nov. 1 midterm test.) The final

More information

LECTURE 07 COLORS IN IMAGES & VIDEO

LECTURE 07 COLORS IN IMAGES & VIDEO MULTIMEDIA TECHNOLOGIES LECTURE 07 COLORS IN IMAGES & VIDEO IMRAN IHSAN ASSISTANT PROFESSOR LIGHT AND SPECTRA Visible light is an electromagnetic wave in the 400nm 700 nm range. The eye is basically similar

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

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

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

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

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

Introduction to Color Theory

Introduction to Color Theory Systems & Biomedical Engineering Department SBE 306B: Computer Systems III (Computer Graphics) Dr. Ayman Eldeib Spring 2018 Introduction to With colors you can set a mood, attract attention, or make a

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

Additive Color Synthesis

Additive Color Synthesis Color Systems Defining Colors for Digital Image Processing Various models exist that attempt to describe color numerically. An ideal model should be able to record all theoretically visible colors in the

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

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

Wireless Communication

Wireless Communication Wireless Communication Systems @CS.NCTU Lecture 4: Color Instructor: Kate Ching-Ju Lin ( 林靖茹 ) Chap. 4 of Fundamentals of Multimedia Some reference from http://media.ee.ntu.edu.tw/courses/dvt/15f/ 1 Outline

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

Colors in images. Color spaces, perception, mixing, printing, manipulating...

Colors in images. Color spaces, perception, mixing, printing, manipulating... Colors in images Color spaces, perception, mixing, printing, manipulating... Tomáš Svoboda Czech Technical University, Faculty of Electrical Engineering Center for Machine Perception, Prague, Czech Republic

More information

EECS490: Digital Image Processing. Lecture #12

EECS490: Digital Image Processing. Lecture #12 Lecture #12 Image Correlation (example) Color basics (Chapter 6) The Chromaticity Diagram Color Images RGB Color Cube Color spaces Pseudocolor Multispectral Imaging White Light A prism splits white light

More information

05 Color. Multimedia Systems. Color and Science

05 Color. Multimedia Systems. Color and Science Multimedia Systems 05 Color Color and Science Imran Ihsan Assistant Professor, Department of Computer Science Air University, Islamabad, Pakistan www.imranihsan.com Lectures Adapted From: Digital Multimedia

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

INSTITUTIONEN FÖR SYSTEMTEKNIK LULEÅ TEKNISKA UNIVERSITET

INSTITUTIONEN FÖR SYSTEMTEKNIK LULEÅ TEKNISKA UNIVERSITET INSTITUTIONEN FÖR SYSTEMTEKNIK LULEÅ TEKNISKA UNIVERSITET Some color images on this slide Last Lecture 2D filtering frequency domain The magnitude of the 2D DFT gives the amplitudes of the sinusoids and

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

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

To discuss. Color Science Color Models in image. Computer Graphics 2

To discuss. Color Science Color Models in image. Computer Graphics 2 Color To discuss Color Science Color Models in image Computer Graphics 2 Color Science Light & Spectra Light is an electromagnetic wave It s color is characterized by its wavelength Laser consists of single

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

Lecture 6 6 Color, Waves, and Dispersion Reading Assignment: Read Kipnis Chapter 7 Colors, Section I, II, III 6.1 Overview and History

Lecture 6 6 Color, Waves, and Dispersion Reading Assignment: Read Kipnis Chapter 7 Colors, Section I, II, III 6.1 Overview and History Lecture 6 6 Color, Waves, and Dispersion Reading Assignment: Read Kipnis Chapter 7 Colors, Section I, II, III 6.1 Overview and History In Lecture 5 we discussed the two different ways of talking about

More information

Capturing Light in man and machine

Capturing Light in man and machine Capturing Light in man and machine 15-463: Computational Photography Alexei Efros, CMU, Fall 2008 Image Formation Digital Camera Film The Eye Digital camera A digital camera replaces film with a sensor

More information

Motion illusion, rotating snakes

Motion illusion, rotating snakes Motion illusion, rotating snakes Previous classes Computer vision overview Mathematics of pinhole camera Sensors and light Recap: projection X t x K R 1 1 0 0 0 1 33 32 31 23 22 21 13 12 11 0 0 z y x t

More information

Figure 1: Energy Distributions for light

Figure 1: Energy Distributions for light Lecture 4: Colour The physical description of colour Colour vision is a very complicated biological and psychological phenomenon. It can be described in many different ways, including by physics, by subjective

More information

Physics 1230: Light and Color. If you do not have a telescope, please come get the parts on front table. Useful for Written_HW12.

Physics 1230: Light and Color. If you do not have a telescope, please come get the parts on front table. Useful for Written_HW12. Physics 1230: Light and Color Chuck Rogers, Charles.Rogers@colorado.edu Ryan Henley, Valyria McFarland, Peter Siegfried physicscourses.colorado.edu/phys1230 If you do not have a telescope, please come

More information

Interactive Computer Graphics

Interactive Computer Graphics Interactive Computer Graphics Lecture 4: Colour Graphics Lecture 4: Slide 1 Ways of looking at colour 1. Physics 2. Human visual receptors 3. Subjective assessment Graphics Lecture 4: Slide 2 The physics

More information

Light waves of different wavelengths or combinations of wavelengths cause the human eye to detect different colors.

Light waves of different wavelengths or combinations of wavelengths cause the human eye to detect different colors. Section 2: Light waves of different wavelengths or combinations of wavelengths cause the human eye to detect different colors. K What I Know W What I Want to Find Out L What I Learned Essential Questions

More information

COLOR AS A DESIGN ELEMENT

COLOR AS A DESIGN ELEMENT COLOR COLOR AS A DESIGN ELEMENT Color is one of the most important elements of design. It can evoke action and emotion. It can attract or detract attention. I. COLOR SETS COLOR HARMONY Color Harmony occurs

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 & 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

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

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

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

Chapter 16 Light Waves and Color

Chapter 16 Light Waves and Color Chapter 16 Light Waves and Color Lecture PowerPoint Copyright The McGraw-Hill Companies, Inc. Permission required for reproduction or display. What causes color? What causes reflection? What causes color?

More information

Color Image Processing

Color Image Processing Color Image Processing Selim Aksoy Department of Computer Engineering Bilkent University saksoy@cs.bilkent.edu.tr Color Used heavily in human vision. Visible spectrum for humans is 400 nm (blue) to 700

More information

COLOR. Elements of color. Visible spectrum. The Fovea. Lecture 3 October 30, Ingela Nyström 1. There are three types of cones, S, M and L

COLOR. Elements of color. Visible spectrum. The Fovea. Lecture 3 October 30, Ingela Nyström 1. There are three types of cones, S, M and L COLOR Elements of color Angel 1.4, 2.4, 7.12 J. Lindblad 2001-11-01 Color = The eye s and the brain s impression of electromagnetic radiation in the visual spectra. How is color perceived? Visible spectrum

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

Light. intensity wavelength. Light is electromagnetic waves Laser is light that contains only a narrow spectrum of frequencies

Light. intensity wavelength. Light is electromagnetic waves Laser is light that contains only a narrow spectrum of frequencies Image formation World, image, eye Light Light is electromagnetic waves Laser is light that contains only a narrow spectrum of frequencies intensity wavelength Visible light is light with wavelength from

More information

color & dye chemisty Explore in a scientific way! Learn how and why we see color, and how dye chemically reacts with fabric!

color & dye chemisty Explore in a scientific way! Learn how and why we see color, and how dye chemically reacts with fabric! for ages 12-17 color & dye chemisty Explore in a scientific way! Learn how and why we see color, and how dye chemically reacts with fabric! objectives and materials what is color? types of color how reactive

More information

Image Perception & 2D Images

Image Perception & 2D Images Image Perception & 2D Images Vision is a matter of perception. Perception is a matter of vision. ES Overview Introduction to ES 2D Graphics in Entertainment Systems Sound, Speech & Music 3D Graphics in

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

Understand brightness, intensity, eye characteristics, and gamma correction, halftone technology, Understand general usage of color

Understand brightness, intensity, eye characteristics, and gamma correction, halftone technology, Understand general usage of color Understand brightness, intensity, eye characteristics, and gamma correction, halftone technology, Understand general usage of color 1 ACHROMATIC LIGHT (Grayscale) Quantity of light physics sense of energy

More information

Hue Do You Think Hue Are?

Hue Do You Think Hue Are? Hue Do You Think Hue Are? The Properties of Color There are three fundamental properties by which color is characterized: hue, value and chroma. We ve been discussing value. Now Introducing Hue! Who What

More information

Color Theory: Defining Brown

Color Theory: Defining Brown Color Theory: Defining Brown Defining Colors Colors can be defined in many different ways. Computer users are often familiar with colors defined as percentages or amounts of red, green, and blue (RGB).

More information

In order to manage and correct color photos, you need to understand a few

In order to manage and correct color photos, you need to understand a few In This Chapter 1 Understanding Color Getting the essentials of managing color Speaking the language of color Mixing three hues into millions of colors Choosing the right color mode for your image Switching

More information

Optics Review (Chapters 11, 12, 13)

Optics Review (Chapters 11, 12, 13) Optics Review (Chapters 11, 12, 13) Complete the following questions in preparation for your test on FRIDAY. The notes that you need are in italics. Try to answer it on your own first, then check with

More information

Image Processing. Michael Kazhdan ( /657) HB Ch FvDFH Ch. 13.1

Image Processing. Michael Kazhdan ( /657) HB Ch FvDFH Ch. 13.1 Image Processing Michael Kazhdan (600.457/657) HB Ch. 14.4 FvDFH Ch. 13.1 Outline Human Vision Image Representation Reducing Color Quantization Artifacts Basic Image Processing Human Vision Model of Human

More information

Color. Chapter 6. (colour) Digital Multimedia, 2nd edition

Color. Chapter 6. (colour) Digital Multimedia, 2nd edition Color (colour) Chapter 6 Digital Multimedia, 2nd edition What is color? Color is how our eyes perceive different forms of energy. Energy moves in the form of waves. What is a wave? Think of a fat guy (Dr.

More information

Capturing Light in man and machine

Capturing Light in man and machine Capturing Light in man and machine 15-463: Computational Photography Alexei Efros, CMU, Fall 2010 Etymology PHOTOGRAPHY light drawing / writing Image Formation Digital Camera Film The Eye Sensor Array

More information

Digital Media. Lecture 6: Color Part 1. Georgia Gwinnett College School of Science and Technology Dr. Jim Rowan

Digital Media. Lecture 6: Color Part 1. Georgia Gwinnett College School of Science and Technology Dr. Jim Rowan Digital Media Lecture 6: Color Part 1 Georgia Gwinnett College School of Science and Technology Dr. Jim Rowan Refer to Supplemental text: What is color anyway? How do we model color? Color Theory Color

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

Capturing Light in man and machine. Some figures from Steve Seitz, Steve Palmer, Paul Debevec, and Gonzalez et al.

Capturing Light in man and machine. Some figures from Steve Seitz, Steve Palmer, Paul Debevec, and Gonzalez et al. Capturing Light in man and machine Some figures from Steve Seitz, Steve Palmer, Paul Debevec, and Gonzalez et al. 15-463: Computational Photography Alexei Efros, CMU, Fall 2005 Image Formation Digital

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

Chapter 9: Color. What is Color? Wavelength is a property of an electromagnetic wave in the frequency range we call light

Chapter 9: Color. What is Color? Wavelength is a property of an electromagnetic wave in the frequency range we call light Chapter 9: Color What is color? Color mixtures Intensity-distribution curves Additive Mixing Partitive Mixing Specifying colors RGB Color Chromaticity What is Color? Wavelength is a property of an electromagnetic

More information

Visual Communication by Colours in Human Computer Interface

Visual Communication by Colours in Human Computer Interface Buletinul Ştiinţific al Universităţii Politehnica Timişoara Seria Limbi moderne Scientific Bulletin of the Politehnica University of Timişoara Transactions on Modern Languages Vol. 14, No. 1, 2015 Visual

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

The Principles of Chromatics

The Principles of Chromatics The Principles of Chromatics 03/20/07 2 Light Electromagnetic radiation, that produces a sight perception when being hit directly in the eye The wavelength of visible light is 400-700 nm 1 03/20/07 3 Visible

More information

The basic tenets of DESIGN can be grouped into three categories: The Practice, The Principles, The Elements

The basic tenets of DESIGN can be grouped into three categories: The Practice, The Principles, The Elements Vocabulary The basic tenets of DESIGN can be grouped into three categories: The Practice, The Principles, The Elements 1. The Practice: Concept + Composition are ingredients that a designer uses to communicate

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

Technology and digital images

Technology and digital images Technology and digital images Objectives Describe how the characteristics and behaviors of white light allow us to see colored objects. Describe the connection between physics and technology. Describe

More information

In a physical sense, there really is no such thing as color, just light waves of different wavelengths.

In a physical sense, there really is no such thing as color, just light waves of different wavelengths. Color Concept Basis Color Concept What is Color? In a physical sense, there really is no such thing as color, just light waves of different wavelengths. Color comes from light. The human eye can distinguish

More information

Images. CS 4620 Lecture Kavita Bala w/ prior instructor Steve Marschner. Cornell CS4620 Fall 2015 Lecture 38

Images. CS 4620 Lecture Kavita Bala w/ prior instructor Steve Marschner. Cornell CS4620 Fall 2015 Lecture 38 Images CS 4620 Lecture 38 w/ prior instructor Steve Marschner 1 Announcements A7 extended by 24 hours w/ prior instructor Steve Marschner 2 Color displays Operating principle: humans are trichromatic match

More information

Introduction to Color Science (Cont)

Introduction to Color Science (Cont) Lecture 24: Introduction to Color Science (Cont) Computer Graphics and Imaging UC Berkeley Empirical Color Matching Experiment Additive Color Matching Experiment Show test light spectrum on left Mix primaries

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

Electromagnetic Spectrum

Electromagnetic Spectrum Electromagnetic Spectrum Wave - Review Waves are oscillations that transport energy. 2 Types of waves: Mechanical waves that require a medium to travel through (sound, water, earthquakes) Electromagnetic

More information

Waitlist. We ll let you know as soon as we can. Biggest issue is TAs

Waitlist. We ll let you know as soon as we can. Biggest issue is TAs Bela Borsodi Bela Borsodi Waitlist We ll let you know as soon as we can. Biggest issue is TAs CS 143 James Hays Many materials, courseworks, based from him + previous TA staff serious thanks! Textbook

More information

COLOR. Elements of color. Visible spectrum. The Human Visual System. The Fovea. There are three types of cones, S, M and L. r( λ)

COLOR. Elements of color. Visible spectrum. The Human Visual System. The Fovea. There are three types of cones, S, M and L. r( λ) COLOR Elements of color Angel, 4th ed. 1, 2.5, 7.13 excerpt from Joakim Lindblad Color = The eye s and the brain s impression of electromagnetic radiation in the visual spectra How is color perceived?

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

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

Christoph Wagner Colour Theory

Christoph Wagner Colour Theory Colour Theory Hue, Saturation and Lightness (HSL) This model is one of the most intuitive ones in describing colour and I find it most useful for our purposes. There are other models, but we'll focus on

More information

Introduction to Multimedia Computing

Introduction to Multimedia Computing COMP 319 Lecture 02 Introduction to Multimedia Computing Fiona Yan Liu Department of Computing The Hong Kong Polytechnic University Learning Outputs of Lecture 01 Introduction to multimedia technology

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

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

check it out online at

check it out online at check it out online at www.belyea.com/svc/all_about_color.pdf Who am I? I got the blues Experience and Emotions through color PASSION JOY Depression HARMONY CREATIVITY PEACE MOURNING It s a bird, it s

More information

Color Image Processing

Color Image Processing Color Image Processing Jesus J. Caban Outline Discuss Assignment #1 Project Proposal Color Perception & Analysis 1 Discuss Assignment #1 Project Proposal Due next Monday, Oct 4th Project proposal Submit

More information

Oversubscription. Sorry, not fixed yet. We ll let you know as soon as we can.

Oversubscription. Sorry, not fixed yet. We ll let you know as soon as we can. Bela Borsodi Bela Borsodi Oversubscription Sorry, not fixed yet. We ll let you know as soon as we can. CS 143 James Hays Continuing his course many materials, courseworks, based from him + previous staff

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

Color Image Processing. Gonzales & Woods: Chapter 6

Color Image Processing. Gonzales & Woods: Chapter 6 Color Image Processing Gonzales & Woods: Chapter 6 Objectives What are the most important concepts and terms related to color perception? What are the main color models used to represent and quantify color?

More information

Dr. Shahanawaj Ahamad. Dr. S.Ahamad, SWE-423, Unit-06

Dr. Shahanawaj Ahamad. Dr. S.Ahamad, SWE-423, Unit-06 Dr. Shahanawaj Ahamad 1 Outline: Basic concepts underlying Images Popular Image File formats Human perception of color Various Color Models in use and the idea behind them 2 Pixels -- picture elements

More information

10.2 Color and Vision

10.2 Color and Vision 10.2 Color and Vision The energy of light explains how different colors are physically different. But it doesn't explain how we see colors. How does the human eye see color? The answer explains why computers

More information

Images and Colour COSC342. Lecture 2 2 March 2015

Images and Colour COSC342. Lecture 2 2 March 2015 Images and Colour COSC342 Lecture 2 2 March 2015 In this Lecture Images and image formats Digital images in the computer Image compression and formats Colour representation Colour perception Colour spaces

More information

The Elements of Art: Photography Edition. Directions: Copy the notes in red. The notes in blue are art terms for the back of your handout.

The Elements of Art: Photography Edition. Directions: Copy the notes in red. The notes in blue are art terms for the back of your handout. The Elements of Art: Photography Edition Directions: Copy the notes in red. The notes in blue are art terms for the back of your handout. The elements of art a set of 7 techniques which describe the characteristics

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

Raster Graphics. Overview קורס גרפיקה ממוחשבת 2008 סמסטר ב' What is an image? What is an image? Image Acquisition. Image display 5/19/2008.

Raster Graphics. Overview קורס גרפיקה ממוחשבת 2008 סמסטר ב' What is an image? What is an image? Image Acquisition. Image display 5/19/2008. Overview Images What is an image? How are images displayed? Color models How do we perceive colors? How can we describe and represent colors? קורס גרפיקה ממוחשבת 2008 סמסטר ב' Raster Graphics 1 חלק מהשקפים

More information

קורס גרפיקה ממוחשבת 2008 סמסטר ב' Raster Graphics 1 חלק מהשקפים מעובדים משקפים של פרדו דוראנד, טומס פנקהאוסר ודניאל כהן-אור

קורס גרפיקה ממוחשבת 2008 סמסטר ב' Raster Graphics 1 חלק מהשקפים מעובדים משקפים של פרדו דוראנד, טומס פנקהאוסר ודניאל כהן-אור קורס גרפיקה ממוחשבת 2008 סמסטר ב' Raster Graphics 1 חלק מהשקפים מעובדים משקפים של פרדו דוראנד, טומס פנקהאוסר ודניאל כהן-אור Images What is an image? How are images displayed? Color models Overview How

More information

Wright Field Scale Modelers. Color Mixing: Everything you thought you knew about color is wrong.

Wright Field Scale Modelers. Color Mixing: Everything you thought you knew about color is wrong. Wright Field Scale Modelers Color Mixing: Everything you thought you knew about color is wrong. Sources http://www.huevaluechroma.com/ Written by a color scientist, Dr. Briggs. It is a bit technical. Principles

More information

Prof. Feng Liu. Winter /09/2017

Prof. Feng Liu. Winter /09/2017 Prof. Feng Liu Winter 2017 http://www.cs.pdx.edu/~fliu/courses/cs410/ 01/09/2017 Today Course overview Computer vision Admin. Info Visual Computing at PSU Image representation Color 2 Big Picture: Visual

More information

Colorimetry and Color Modeling

Colorimetry and Color Modeling Color Matching Experiments 1 Colorimetry and Color Modeling Colorimetry is the science of measuring color. Color modeling, for the purposes of this Field Guide, is defined as the mathematical constructs

More information

CMPSCI 670: Computer Vision! Color. University of Massachusetts, Amherst September 15, 2014 Instructor: Subhransu Maji

CMPSCI 670: Computer Vision! Color. University of Massachusetts, Amherst September 15, 2014 Instructor: Subhransu Maji CMPSCI 670: Computer Vision! Color University of Massachusetts, Amherst September 15, 2014 Instructor: Subhransu Maji Slides by D.A. Forsyth 2 Color is the result of interaction between light in the environment

More information

Hello, welcome to the video lecture series on Digital image processing. (Refer Slide Time: 00:30)

Hello, welcome to the video lecture series on Digital image processing. (Refer Slide Time: 00:30) Digital Image Processing Prof. P. K. Biswas Department of Electronics and Electrical Communications Engineering Indian Institute of Technology, Kharagpur Module 11 Lecture Number 52 Conversion of one Color

More information

Observing a colour and a spectrum of light mixed by a digital projector

Observing a colour and a spectrum of light mixed by a digital projector Observing a colour and a spectrum of light mixed by a digital projector Zdeněk Navrátil Abstract In this paper an experiment studying a colour and a spectrum of light produced by a digital projector is

More information

Chapter 9: Light, Colour and Radiant Energy. Passed a beam of white light through a prism.

Chapter 9: Light, Colour and Radiant Energy. Passed a beam of white light through a prism. Chapter 9: Light, Colour and Radiant Energy Where is the colour in sunlight? In the 17 th century (1600 s), Sir Isaac Newton conducted a famous experiment. Passed a beam of white light through a prism.

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

CS101 Lecture 12: Digital Images. What You ll Learn Today

CS101 Lecture 12: Digital Images. What You ll Learn Today CS101 Lecture 12: Digital Images Sampling and Quantizing Using bits to Represent Colors and Images Aaron Stevens (azs@bu.edu) 20 February 2013 What You ll Learn Today What is digital information? How to

More information

Colour (1) Graphics 2

Colour (1) Graphics 2 Colour (1) raphics 2 06-02408 Level 3 10 credits in Semester 2 Professor Aleš Leonardis Slides by Professor Ela Claridge Colours and their origin - spectral characteristics - human visual perception Colour

More information

Color. Color. Colorfull world IFT3350. Victor Ostromoukhov Université de Montréal. Victor Ostromoukhov - Université de Montréal

Color. Color. Colorfull world IFT3350. Victor Ostromoukhov Université de Montréal. Victor Ostromoukhov - Université de Montréal IFT3350 Victor Ostromoukhov Université de Montréal full world 2 1 in art history Mondrian 1921 The cave of Lascaux About 17000 BC Vermeer mid-xvii century 3 is one of the most effective visual attributes

More information