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

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

Question From Last Class

Color Image Processing. Gonzales & Woods: Chapter 6

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

COLOR and the human response to light

Sensation, Part 4 Gleitman et al. (2011), Chapter 4

PERCEIVING COLOR. Functions of Color Vision

The Principles of Chromatics

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

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

Color Perception. This lecture is (mostly) thanks to Penny Rheingans at the University of Maryland, Baltimore County

any kind, you have two receptive fields, one the small center region, the other the surround region.

COLOR. and the human response to light

Additive. Subtractive

University of British Columbia CPSC 314 Computer Graphics Jan-Apr Tamara Munzner. Color.

Color Perception. Color, What is It Good For? G Perception October 5, 2009 Maloney. perceptual organization. perceptual organization

Color. Fredo Durand Many slides by Victor Ostromoukhov. Color Vision 1

Color Outline. Color appearance. Color opponency. Brightness or value. Wavelength encoding (trichromacy) Color appearance

Reading for Color. Vision/Color. RGB Color. Vision/Color. University of British Columbia CPSC 314 Computer Graphics Jan-Apr 2013.

Lecture 4. Opponent Colors. Hue Cancellation Experiment HUV Color Space

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

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

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

Color Science. CS 4620 Lecture 15

Introduction to Color

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

Victor Ostromoukhov Université de Montréal. Victor Ostromoukhov - Université de Montréal

A World of Color. Session 4 Color Spaces. OLLI at Illinois Spring D. H. Tracy

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

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

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

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

Vision. PSYCHOLOGY (8th Edition, in Modules) David Myers. Module 13. Vision. Vision

Color. Bilkent University. CS554 Computer Vision Pinar Duygulu

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

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

Light and Colour. Light as part of the EM spectrum. Light as part of the EM spectrum

OPTO 5320 VISION SCIENCE I

Capturing Light in man and machine

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

Computer Graphics Si Lu Fall /27/2016

Colour spaces. Project for the Digital signal processing course

Achromatic and chromatic vision, rods and cones.

Colors in Images & Video

LECTURE 07 COLORS IN IMAGES & VIDEO

12/02/2017. From light to colour spaces. Electromagnetic spectrum. Colour. Correlated colour temperature. Black body radiation.

Capturing Light in man and machine

Geography 360 Principles of Cartography. April 24, 2006

Digital Image Processing

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

Test 1: Example #2. Paul Avery PHY 3400 Feb. 15, Note: * indicates the correct answer.

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

NEWTONIAN COLOR THEORY

This question addresses OPTICAL factors in image formation, not issues involving retinal or other brain structures.

Introduction to Color Science (Cont)

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

Color and Perception. CS535 Fall Daniel G. Aliaga Department of Computer Science Purdue University

Color Appearance Models

Color vision and representation

Optical properties. Quality Characteristics of Agricultural Materials

Comparing Sound and Light. Light and Color. More complicated light. Seeing colors. Rods and cones

Color Appearance, Color Order, & Other Color Systems

19. Vision and color

Color Image Processing. Jen-Chang Liu, Spring 2006

Biology 70, Lecture 4, Part II Fall 2007

Chapter 3 Part 2 Color image processing

III: Vision. Objectives:

Capturing Light in man and machine

Digital Image Processing Color Models &Processing

Color Computer Vision Spring 2018, Lecture 15

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

Vision and color. University of Texas at Austin CS384G - Computer Graphics Fall 2010 Don Fussell

Using Color Appearance Models in Device-Independent Color Imaging. R. I. T Munsell Color Science Laboratory

CS6640 Computational Photography. 6. Color science for digital photography Steve Marschner

Color , , Computational Photography Fall 2018, Lecture 7

color basics theory & application Fall 2013 Ahmed Ansari Communication Design Fundamentals

LIGHT & COLOR. Thoughts on Color

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

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

Color April 16 th, 2015

Color. April 16 th, Yong Jae Lee UC Davis

Today. Color. Color and light. Color and light. Electromagnetic spectrum 2/7/2011. CS376 Lecture 6: Color 1. What is color?

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

Multimedia Systems and Technologies

Sunderland, NE England

Color , , Computational Photography Fall 2017, Lecture 11

Color images C1 C2 C3

Future Electronics EZ-Color Seminar. Autumn Colour Technology

Capturing Light in man and machine

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

Digital Image Processing

Visual Imaging and the Electronic Age Color Science

CSE512 :: 6 Feb Color. Jeffrey Heer University of Washington

EECS490: Digital Image Processing. Lecture #12

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

University of British Columbia CPSC 414 Computer Graphics

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.

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

excite the cones in the same way.

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

Transcription:

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 would you describe color to a person who was blind since birth?

3 Properties of Color Perception Hue Qualitative, easily identified category of visual experience (Colloquially known as color ; e.g. red, green, blue ). Differs from black-gray-white. Quickly now: Name 10 colors Brightness Intensity of the visual experience (e.g., dim, bright, light, dark ) Saturation Purity of the hue experience (i.e., relative absence of white or gray ) (reciprocal of added white required for a color-match-to-sample)

Color Stimulus Triad Illuminant Spectrum Surface Reflectance Spectrum Spectral Sensitivity of the Visual System

Illuminant Emission Spectra

White Light is a mixture of many different WAVELENGTHS We perceive different wavelengths as different colors 6

Newtonian Light Spectrum (ROY G BIV)

Spectra of Some Common Illuminants

Sunlight Twilight/Overcast Sky Clear Noon Sky

10 Incandescent Lamps

Surface Reflectance Spectra

Objects REFLECT some wavelengths but ABSORB others. 12

Surface Reflectance Spectra

The Spectral Reflectance Profile is the basic stimulus for Color Vision 14

Visual Stimulus Spectrum = Illuminant x Surface Reflectance

Additive vs. Subtractive Color Mixing Color Mixing Demo

Ideal Yellow Pigment Ideal Blue Pigment Residual Green Pigment resulting from mixing Yellow+Blue

Spectral Response of the Visual System

Sir Isaac Newton (1643-1727) Newton s Color Experiments Found that light was not pure but could be analyzed into separate component that appeared different in color [ROY G BIV] Combinations of spectral colors gave rise to perceived colors not observed in the spectrum Non-spectral colors were an emergent property of the human nervous system Color wheel is one of the first psychological theories in the classic scientific literature Color Circle

Trichromatic Theory of Color Color perception emerges from the idiosyncratic discrimination of light wavelength in the retina Thomas Young (1773-1829) Evidence strongly suggests that the retina must encode color based upon more than one type of wavelengthtuned photoreceptor [Univariance Principle] Additive color matching experiments suggest that three wavelength sensors are required [aka Trichromatic Theory] Hermann von Helmholtz (1821-1894)

Simulated Microspectrophotometry Analysis of Human Retina

3 Cones Revealed by MSP

Trichromatic Response to Spectral Stimulus

Color Metamers

Color Specification Systems (Hue,Saturation,Brightness) CIE (1931) Chromaticity (x,y) captures hue x saturation Munsell Color System (18 Hues, 18 Chroma; 10 Values) Pantone (Proprietary Color Matching Standards)

CIE Color Matching Paradigm (Specifying Tristimulus Values)

CIE (1931) Chromaticity Diagram TRISTIMULUS VALUE = X,Y,Z Normalization of XYZ into (x,y) Chromaticity Coordinates: x = X / (X+Y+Z) y = Y / (X+Y+Z) z = Z / (X+Y+Z) Since z = 1 x y then XYZ can be fully specified in the (x,y) plane

Munsell = (Hue,Value,Chroma) Munsell Hues

Munsell Book of Colors Hue 5RP (Red-Purple) (Most saturated: 5RP 5/26) Hue 10YR (Yellow-Red) Hue Value Chroma

Classic Color Demonstrations Explained by Trichromatic Mechanism Tristimulus Color Mixing Findings (see above) Fast Color Adaptation (Basis for Color Constancy)

Problems with Trichromatic Theory Complementary Color Afterimages Hue Cancellation Effects (Hurvich & Jameson) Red+Green Yellow (not reddish-green) Yellow+Blue White (not yellow-blue) Complex Color Contrast Effects (Land) Blue light discounted in Brightness Perception

Opponent Process Theory Information from Red, Green and Blue Cones is organized into three discrete channels before ascending to the visual cortex: Two pairs of OPPONENT COLOR channels code for HUE Red vs. Green channel Blue vs. Yellow channel L M cones S L+M cones One ACHROMATIC channel codes for BRIGHTNESS Black vs. White L+M in center-surround antagonism

DeValois & DeValois (1975) Color-Opponent Cells in the LGN

Red-Green Ganglion Cell

Blue-Yellow Ganglion Cell

Achromatic Ganglion Cell (Notice that Blue Light is Discounted )

Psychophysical vs. Physiological Results DeValois & DeValois (1975) Monkey LGN data Boynton & Gordon s (1965) Color Naming Results Present brief-flash of monochromatic light; Identify appearance using four color categories: RED, YELLOW, GREEN or BLUE