color appearance modelsmajumder/vispercep/mehdi.pdf · mehdi rahimzadeh 1. what is color ? • an...
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COLOR APPEARANCE MODELS
Mehdi Rahimzadeh
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What is color ?
• An Attribute of
visual sensation
• Cannot be defined
without examples
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Rayleigh Scattering
• For small particles x<<1
• Scattered rays
• Lower wavelength, higher scattering
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Rayleigh Scattering
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Color properties: Color
• Attribute of visual
perception consisting of
any combination of
chromatic and
achromatic content
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Color properties: Hue
• An area appears to be
similar to one of the
perceived colors:
• Red, Yellow, Green, Blue
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Color properties: Brightness and Lightness
• Brightness: An area
appears to emit more or
less light
• Lightness: The brightness
of an area judged relative
to brightness of a similarly
illuminated white area
𝐿𝑖𝑔ℎ𝑡𝑛𝑒𝑠𝑠 =𝐵𝑟𝑖𝑔ℎ𝑡𝑛𝑒𝑠𝑠
𝐵𝑟𝑖𝑔ℎ𝑡𝑛𝑒𝑠𝑠 (𝑊ℎ𝑖𝑡𝑒)
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Color properties: Colorfulness and Chroma
• Colorfulness: An area
appears to be more or less
chromatic
• Chroma: The colorfulness of
an area judged as a
proportion of the brightness
of similarly illuminated white
𝐶ℎ𝑟𝑜𝑚𝑎 =𝐶𝑜𝑙𝑜𝑟𝑓𝑢𝑙𝑛𝑒𝑠𝑠
𝐵𝑟𝑖𝑔ℎ𝑡𝑛𝑒𝑠𝑠 (𝑊ℎ𝑖𝑡𝑒)
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Color properties: Saturation
• Colorfulness of an area
judged to its brightness
𝑆𝑎𝑡𝑢𝑟𝑎𝑡𝑖𝑜𝑛 =𝐶ℎ𝑟𝑜𝑚𝑎
𝐿𝑖𝑔ℎ𝑡𝑛𝑒𝑠𝑠
𝑆𝑎𝑡𝑢𝑟𝑎𝑡𝑖𝑜𝑛 =𝐶𝑜𝑙𝑜𝑟𝑓𝑢𝑙𝑛𝑒𝑠𝑠
𝐵𝑟𝑖𝑔ℎ𝑡𝑛𝑒𝑠𝑠 (𝑊ℎ𝑖𝑡𝑒)×𝐵𝑟𝑖𝑔ℎ𝑡𝑛𝑒𝑠𝑠 (𝑊ℎ𝑖𝑡𝑒)
𝐵𝑟𝑖𝑔ℎ𝑡𝑛𝑒𝑠𝑠
𝑆𝑎𝑡𝑢𝑟𝑎𝑡𝑖𝑜𝑛 =𝐶𝑜𝑙𝑜𝑓𝑢𝑙𝑛𝑒𝑠𝑠
𝐵𝑟𝑖𝑔ℎ𝑡𝑛𝑒𝑠𝑠
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Color properties:
• Brightness
• Lightness
• Colorfulness
• Chroma
• Hue
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Human Color Perception:
• Color spectrum
• Cone responses (L, M, S)
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Opponent Color Theory:
• Primary colors are encoded before sending to brain
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US Flag afterimage:
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US Flag afterimage:
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CIE 1937 XYZ matching functions:
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Color Appearance Phenomena:
Simultaneous Contrast
• Darker background
cause the gray ribbon
appear lighter
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Color Appearance Phenomena:
Simultaneous Contrast
• Robertson (1996)
• Darker background
cause the gray ribbon
appear lighter
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Color Appearance Phenomena: Crispening
• Increase in perceived
magnitude of color
differences when the
background is similar in
color
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Color Appearance Phenomena:
Bezold-Brucke Hue Shift
• Hue changes with
luminance• Wavelength shift required
to maintain constant hue
across a 10X reduction in
luminance
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Color Appearance Phenomena:
• Hunt Effect: Colorfulness increases with
luminance
• Stevens Effect: Contrast increases with
luminance
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Color Appearance Phenomena: Helson-Judd effect
• Under strongly monochromatic illumination
• Samples lighter than the background exhibited
Chroma of the same hue as the source
• Samples darker than background exhibited
Chroma of the hue of the source’s complement
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Color Appearance Phenomena:
Discounting-the-Illuminant
• Cognitive ability of observers to interpret the
colors of objects based on illuminated
environment in which the are viewed
• White objects appear white under tungsten light,
fluorescent light, and daylight.
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Color Appearance Model:
• Any model that includes predictors of at least
the relative color-appearance attributes of
lightness, chroma, and hue
• It must include at least some form of a
chromatic-adaptation transform
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Color Appearance Model:
• Transform of XYZ tri-stimulus values to cone
responses
• Viewing environment (tri-stimulus of
adaptation stimulus)
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CIELAB:
• Stimulus XYZ
• Reference White 𝑋𝑛, 𝑌𝑛, 𝑍𝑛• Results in L (luminance), a, and b
(chrominance) parameters
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CIELAB:
• 𝑎: red-green
• 𝑏: yellow-blue
• 𝐿 = 116 𝑌 𝑌𝑛 − 16• 𝑎 = 500[𝑓( 𝑋 𝑋𝑛) − 𝑓( 𝑌 𝑌𝑛)]• 𝑏 = 200[𝑓( 𝑌 𝑌𝑛) − 𝑓( 𝑍 𝑍𝑛)
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CIELAB:
• 𝑓 𝜔 = 𝜔1/3
7.787𝜔 + 16/116𝜔>0.008856𝜔≤0.008856
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CIELAB:
• Chroma: 𝐶𝑎𝑏 = 𝑎2 + 𝑏2
• Hue: ℎ𝑎𝑏 = tan−1( 𝑏 𝑎)
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CIELAB:
• Contours of constant
Chroma and Hue
• Lines: constant Hue
• Circles: constant Chroma
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CIELAB: Pros and Cons
• Not accurate von Kries adaptation transformation
• Incapable of predicting luminance-depending
effects (Hunt and Stevens effect)
• Incorporate no background or surround
dependency
• No modeling for discounting-the-illuminant
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Nayatani et al:
• Luminance factor of achromatic background (𝑌0)
• Color of the illumination (𝑥0, 𝑦0)• Test stimulus in (𝑥, 𝑦, 𝑌)• Absolute luminance of the stimulus (𝐸0)• Normalizing illuminance 𝐸𝑜𝑟• Noise term (𝑛)
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Nayatani et al:
• Converting XYZ to intermediate values
• 𝜉 = (0.48105𝑥0 + 0.78841𝑦0 − 0.08081)/𝑦0• 𝜂 = (0.27200𝑥0 + 1.11962𝑦0 − 0.04570)/𝑦0• 𝜁 = 0.91822(1 − 𝑥0 − 𝑦0)/𝑦0
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Nayatani et al: adaptation model
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Nayatani et al: Opponent color dimension
Achromatic response
Chromatic response
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Nayatani et al: Pros and Cones• Accounts for change in color appearance due to
chromatic adaptation and luminance level
(Stevens and Hunt effect)
• Predicts Helsun-Judd effect
• No chromatic or cognitive adaptation (von Kries
and discounting-the-illuminant)
• Not incorporate rod vision
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Hunt Model:
• Heavily depends on surround relative luminance
• Transparencies projected in a dark room
• Television displays in a dim surround
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Hunt Model:
• Chromaticity coordinates of the illuminant
and the adapting field
• Chromaticity and luminance factors of the
background, reference white and test
sample
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Hunt Model: adaptation model
• 𝐹𝐿: Luminance-level adaptation factor
• 𝐹𝜌, 𝐹𝛾 , and 𝐹𝛽 are chromatic adaptation
factors
• 𝜌𝐷, 𝛾𝐷, and 𝛽𝐷 are Helson-Judd effect
factors
• 𝐵𝜌, 𝐵𝛾 , and 𝐵𝛽 are cone bleach factors
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Hunt Model: adaptation model
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Hunt Model: Opponent color dimension
A: Achromatic post-adaptation signal
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Hunt Model: Pros and Cons
• Designed to predict the appearance of stimuli
in a variety background and surround
• Predicts Hunt effect, Hue shift, Helson-Judd
effect, Simultaneous constant, Stevens effect
• Predicts chromatic adaptation due to
discounting-the-illuminant
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Hunt Model: Pros and Cons
• It is very complex model
• Extreme poor result on incomplete input data
• Cannot be easily converted
• Expensive and difficult to implement
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RLAB:
• XYZ of the test object
• 𝑋𝑛, 𝑌𝑛, 𝑍𝑛 of the white point
• Absolute luminance of the white object in 𝑐𝑑/𝑚2
• Relative luminance of the surround
• Is discounting-the-illuminant taking place?
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RLAB:
• M: Cone Response Transformation
• A: von Kries adaptation
• R: 𝐴−1𝑀−1for reference viewing
conditions
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RLAB: Opponent color dimension
• Analogous to CIELAB
• Average surround 𝜎 = 1/2.3• Dim surround 𝜎 = 1/2.7• Dark surround 𝜎 = 1/3.5
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RLAB:
• Adaptation to dark surround
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RLAB: Pros and Cons
• Predicts discounting-the-illuminant
• Includes variable exponent for better contrast in
different surroundings
• Not exhaustive in predicting color-appearance
phenomena (Hunt, Helson-Judd, Stevens)
• Not over a wide range of luminance
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