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Multimedia Systems Color Space Mahdi Amiri October 2015 Sharif University of Technology Course Presentation

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Multimedia Systems

Color Space

Mahdi Amiri

October 2015

Sharif University of Technology

Course Presentation

Page 1 Multimedia Systems, Mahdi Amiri, Color Space

Physics of ColorLight

Light or visible light is the portion of electromagnetic radiation that

is visible to the human eye.

The wavelength λ of a sinusoidal waveform

traveling at constant speed ν is given by

In the case of electromagnetic radiation, ν is

the speed of light, about 3×108 m/s.

Page 2

Color is Human SensationHuman Eye

Through cone and rod receptors in the retina

Three kinds of cones: Long (L, Red), Medium (M, Green), Short (S, Blue)

Rod receptor is mostly for luminance perception(useful for night vision)

Multimedia Systems, Mahdi Amiri, Color Space

Page 3

Human EyeFovea

The fovea is responsible for sharp central vision

The human fovea has a diameter of about 1.0 mm with a high

concentration of cone photoreceptors.

Spatial Distribution

Multimedia Systems, Mahdi Amiri, Color Space

Cone cells are densely packed in the fovea, but gradually

become sparser towards the periphery of the retina.

A rod cell is sensitive enough to respond to a single

photon of light and is about 100 times more sensitive to a

single photon than cones.

Page 4

Human EyePhotoreceptor cell

Normalized typical human cone (and rod) absorbances

(not responses) to different wavelengths of light

Idea

We can have different

colors by mixing

primary color

components

of “light” or “pigment”

Multimedia Systems, Mahdi Amiri, Color Space

Page 5

Additive Color MixingMixing of Light

Usually red, green and blue

RGB color model

Application

LCD, LED, plasma and CRT

(picture tube) color video displays

Examine TV display with a

sufficiently strong magnifier

Multimedia Systems, Mahdi Amiri, Color Space

Page 6

RGBLCD TV Close-up

RGB sub-pixels in an LCD TV

(on the right: an orange

and a blue color;

on the left: a close-up)

Multimedia Systems, Mahdi Amiri, Color Space

Page 7

RGBColor Components

Multimedia Systems, Mahdi Amiri, Color Space

Page 8

Subtractive Color MixingMixing of Pigment

Primary: Cyan, Magenta, Yellow

CMYK color model

Application

Printers

Pigments

absorb light

Multimedia Systems, Mahdi Amiri, Color Space

Page 9

CMYKColor Components

Multimedia Systems, Mahdi Amiri, Color Space

Page 10

CMYKWhy Including the Black?

Separated for printing with

process cyan, magenta, and

yellow inks.

A color photograph of

the Teton Range.

Separated with

maximum black,

to minimize ink

use.

Multimedia Systems, Mahdi Amiri, Color Space

Page 11

CMYKClose-up of a Print

This close-up of printed halftone rasters

show that magenta on top of yellow

appears as orange/red, and cyan on top

of yellow appears as green

Multimedia Systems, Mahdi Amiri, Color Space

Page 12

Comparison of Color ModelsCMYK vs RGB

A comparison of CMYK and RGB color

models. This image demonstrates the

difference between how colors will look

on a computer monitor (RGB) compared

to how they will reproduce in a CMYK

print process.

Multimedia Systems, Mahdi Amiri, Color Space

Page 13

Color Space ModelsCIE 1931 XYZ color space

One of the first mathematically defined color

spaces

Created by the International Commission on

Illumination (CIE)

The CIE XYZ color space was derived from a

series of experiments done in the late 1920s by W.

David Wright and John Guild.

Multimedia Systems, Mahdi Amiri, Color Space

Page 14

Color Space ModelsCIE Experiments

The observer would alter the brightness

of each of the three primary beams until

a match to the test color was observed.

The Y primary is intentionally defined to have a

color-matching function that exactly matches the

luminous-efficiency function of the human eye.

CIE XYZ primaries

Multimedia Systems, Mahdi Amiri, Color Space

Page 15

Color Space ModelsCIE 1931 XYZ color space

The Result of the Experiments: The cone of visible colors

The X + Y + Z = 1 plane is shown as a triangle

Multimedia Systems, Mahdi Amiri, Color Space

Page 16

Color Space ModelsCIE xyY Chromaticity Diagram

Y in xyY: measure of the brightness or

luminance of a color.

Multimedia Systems, Mahdi Amiri, Color Space

Page 17

Color Space ModelsColor Gamut

The range of color representation of a display device

A typical CRT gamut

Multimedia Systems, Mahdi Amiri, Color Space

Page 18

Color SpaceHSV

Hue: Quantity that distinguishes color family,

say red from yellow, green from blue.

Saturation (Chroma): Color intensity (strong to

weak). Intensity of distinctive hue, or degree of

color sensation from that of white or grey.

Value (Luminance): Light color or dark color.

Multimedia Systems, Mahdi Amiri, Color Space

Page 19

Color SpaceHSV

Photoshop uses this model to get more control over color

Multimedia Systems, Mahdi Amiri, Color Space

Page 20

Color SpaceHSV vs. RGB

Example color control

From a relatively colorful orange ���� a less saturated orange

RGB: we would need to readjust all three R, G and B sliders

HSV: we can just readjust the ‘Saturation’ related slider

Sample Application of HSV color space: Object detection based on color filtering.

Multimedia Systems, Mahdi Amiri, Color Space

Page 21

Color SpaceYUV

Y: Luminance

U and V: Chrominance

Example of U-V color plane

Taking human perception into account,

allowing reduced bandwidth for

chrominance components

(Since the human eye is less sensitive

to chrominance than luminance)

Multimedia Systems, Mahdi Amiri, Color Space

No need for color space conversion

when our image processing technique

only uses luminance component.

YUV was invented when engineers

wanted color television in a black-

and-white infrastructure.

YUV's corresponding color space in

ITU standards is YCbCr

U corresponds to the Cb = B – Y

V corresponds to the Cr = R – Y

Page 22

YUVColor Components

Multimedia Systems, Mahdi Amiri, Color Space

Page 23

Color SpaceSubsampling in YUV or YCbCr

Multimedia Systems, Mahdi Amiri, Color Space

Page 24

Color SpaceDifference Between Four Schemes

This image shows the difference between four subsampling

schemes. Note how similar the color images appear. The

lower row shows the resolution of the color information.

Multimedia Systems, Mahdi Amiri, Color Space

Page 25

RGB, HSV, YUV

Multimedia Systems, Mahdi Amiri, Color Space

Page 26

RGB, CMY, YUV

Multimedia Systems, Mahdi Amiri, Color Space

Page 27

Color Space ConversionRGB and YUV

YUV to RGB

RGB to YUV

Multimedia Systems, Mahdi Amiri, Color Space

Page 28

Color Space ConversionRGB and CMYK

CMYK to CMY

CMY to CMYKCMY to RGB

RGB to CMY

Multimedia Systems, Mahdi Amiri, Color Space

Page 29

Color SpaceGamma Correction

Multimedia Systems, Mahdi Amiri, Color Space

Input signal level

Ou

tpu

t li

gh

t

(bri

gh

tnes

s)

Page 30Multimedia Systems, Mahdi Amiri, Color Space

Low gamma (e.g. 1.5)

Normal gamma (e.g. 2.2)

High gamma (e.g. 3.0)

Low

gamma

High

gamma

Looks “milky”, flat

and lacks punch

Has loads of punch;

but no detail in the

black areas

With visible details in

the black areas and

white areas.

Source: Piers Clerk, ISF Calibrator,

www.homecinemaengineering.comGamma control in HDTVs

(May be found in advanced

picture settings menu)

Page 31

Color SpaceGamma Correction

Difference between a scale with linearly-increasing encoded luminance signal (linear input)

and a scale with linearly-increasing intensity (i.e., gamma-corrected) scale (linear output).

Multimedia Systems, Mahdi Amiri, Color Space

Page 32

Visual perceptionVisit Mind Lab Website

http://jvsc.jst.go.jp/find/mindlab/english/index.html

How is our consciousness connected to the world?

Explore the unconscious functions of the brain with visual

illusions and mysterious perceptual phenomena

Multimedia Systems, Mahdi Amiri, Color Space

Page 33

Thank You

1. http://ce.sharif.edu/~m_amiri/

2. http://www.aictc.ir/

FIND OUT MORE AT...

Multimedia Systems

Color Space

Next Session: Image I

Multimedia Systems, Mahdi Amiri, Color Space