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Color Huamin Qu Hong Kong University of Science and Technology Color Huamin Qu Hong Kong University of Science and Technology

Color Huamin Qu Hong Kong University of Science and Technology - PowerPoint Presentation

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Uploaded On 2022-07-28

Color Huamin Qu Hong Kong University of Science and Technology - PPT Presentation

Outline Color and Color Space Color for information visualization Color harmonization Visible Light Visible Spectrum of Light Wavelength Human Vision Human Cone Response to Color three cone types SIL correspond to BGR ID: 930765

red color colors blue color red blue colors cie space green yellow saturation qualitative courtesy white coding harmonization rgb

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Slide1

Color

Huamin QuHong Kong University of Science and Technology

Slide2

Outline

Color and Color SpaceColor for information visualizationColor harmonization

Slide3

Visible Light

Visible Spectrum of Light

Wavelength

Slide4

Human Vision

Human Cone Response to Color

three cone types (S,I,L) correspond to B,G,R

400

460

530

650

600

700

500

Wavelength (nm)

Relative response

Blue

Cyan

Green

Red

490

I

L

S

Slide Courtesy of Chester F. Carlson Center for Imaging Science

Slide5

Color Matching Process

From

Foundations of Vision

by B. Wandell

Slide6

The Tristimulus Theory

Any perceived color could be generated by some combination of three primary colorsRGB CurveNegative Intensity

Figure courtesy of D. Forsyth

Slide7

CIE XYZ

CIE (Commission Internationale d’Éclairage)CIE tristimulus values XYZY is luminanceAll positive curves

Figure courtesy of D. Forsyth

Slide8

Color Spaces

Use color matching functions to define a coordinate system for color.Each color can be assigned a triple of coordinates with respect to some color space (e.g. RGB).Devices (monitors, printers, projectors) and computers can communicate colors precisely.

Slide9

CIE XY Chromaticity Diagram

Slide10

RGB Color Space

Slide11

Some Colors Cannot Be Displayed

Slide12

CIE LUV Color Space

A uniform color space used to illustrate or quantify relative color differences.The Euclidean distance between two points is a measure of the difference between the colors.

Slide13

1976 CIE u'v' Chromaticity Diagram

Slide14

HSV Color Space

HSV: Hue Saturation Value - Hue: the color type - Saturation: the “vibrancy” of the color - Value: the brightness of the color

From Wikipedia

http://en.wikipedia.org/wiki/HSV_color_space

Slide15

Color Wheel

Slide16

Combining Colors

Additive (RGB)

Shining colored lights

on a white ball

Subtractive (CMYK)

Mixing paint colors and

illuminating with white light

Slide17

Usage of Color for Visualization

To labelTo quantify

Slide18

http://colorbrewer2.org/

Nature of your dataSequentialDivergingQualitative

Slide19

Qualitative

Slide20

Rules for Qualitative Color Scheme

The maximum number of colors which can be used is usually between 6 to 12The 12 recommended colors Red 2. Green 3. Yellow

4

.

Blue

5. Black

6

. White

7. Pink 8. Cyan 9. Gray 10 Orange 11. Brown 12. Purple

Slide21

Slide22

Color Family

Slide23

Color for Sequential Data

Slide24

Slide25

Use a sequence that varies monotonically on at least one of the opponent color channels

Examples are red to green yellow to bluedark to lightlow saturation to high saturation

Slide26

Slide27

Slide28

Slide29

Divergent Color Scheme

Slide30

Slide31

Slide32

Slide33

Color Harmonization

https://www.youtube.com/watch?v=fH8qhDt3Z6Q

Slide34

Color Harmonization

Slide35

Monochromatic

Slide36

Analogous

Slide37

Complementary

Slide38

Triadic

Slide39

Tetradic

Slide40

Color Used in Tableau

Slide41

Slide42

Slide43

Slide44

Color from DataWatch

Slide45

Bad Color: Red + Blue

Slide46

Slide47

Slide48

Slide49

Colorblind

Slide50

Logo color

Slide51

Red = Adventure. Energy. (Coca Cola

)Pink = Compassion. Nurturing. (Breast Cancer Research Foundation; Barbie)Orange = Cheerful. Warm. Optimistic. (Amazon)

Yellow = Happy. Bright. Sunny. (McDonalds

)

Green = Health and Healing. Environment. Organic. (Whole Foods Market; Starbucks

)

Blue = Honesty. Trust. Dependability. (Facebook; Pfizer

)

Slide52

Using Color for Visualization

Coding qualitative vs. quantitative data - use differing hues for qualitative data - use continuous variation for quantitative dataUse familiar color coding - “red

for hot, dangers, cautions, & warnings

>> watch for culture conflicts (e.g., red in Asian cultures)

Slide53

Coding Information with Colors

Limit color numbers - (5- 10)Don’t have blue and red togetherBe careful with blue (small blue objects, blue objects on dark background). Our eyes are not sensitive to blueRed-Green are good color combinations. For people with red-green color blindness, Yellow-blue are usually OK.