Lateral InhibitionLateral Inhibition - Lina...
Transcript of Lateral InhibitionLateral Inhibition - Lina...
Lateral InhibitionLateral Inhibition Mach Band Effect ‐ Luminance versus brightness
Luminance
ray level
Brightness
Distance
Gr
Distance
Copyright 2010 by Lina J. Karam
Lateral Inhibition Simultaneous Contrast – Luminance versus Brightness
All the center squares have the same intensity.
Copyright 2010 by Lina J. Karam
Luminance and Brightness: Contrast Sensitivity g yContrast sensitivity experiment
L
L+ΔL
The smallest ΔL for which dot is visible is the just‐noticeable difference (JND) or detection threshold.
C t t iti it i l ti l t JND ΔLContrast sensitivity inversely proportional to JND ΔLWeber’s law: ΔL/L= constant (~0.01)
• Equal increments in log L should be perceived to be ll d ff l l b hequally different: linear relation between Brightness B
and log of luminance• Log relation between Brightness B and Luminance L
i t d b f ti
Copyright 2010 by Lina J. Karam
approximated by a power function
Luminance and Brightness: Contrast Sensitivity
Relation between Brightness and Luminance
g y
4.0LB =B1.0
0.8
0.6
0.40.4
0.2
L0.2 1.00.4 0.6 0.8
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Luminance and Brightness: Contrast Sensitivity g yContrast sensitivity experimentVariability between subjects result in
LVariability between subjects result in different JND value per subject Psychometric function: probability
L+ΔL
y p yof detection for a background illumination L
xx
Probabilityof Detection, P
β
β
) |/|(
) |/|(
21
1JND
JND
LL
LL
P
ePΔΔ−
ΔΔ−
−=
−=
x
ΔLΔL
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ΔLΔLJND
Contrast Sensitivity Contrast sensitivity experiment:sinusoidal grating over flat L
β
y
background of constant luminance L+ΔL
β
L is mean luminance of sinusoidal grating and background ΔL is amplitude of sinusoidal grating β is orientation of sinusoidal grating The smallest contrast ΔL for which sinusoid is visible is the just‐
noticeable difference (JND) or contrast sensitivity detection threshold at the considered sinusoid’s frequency and orientation
The JND varies with the spatial and angular (orientation) frequencies of the sinusoidal grating for a given background luminance L.
Copyright 2010 by Lina J. Karam
Contrast SensitivityContrast SensitivityVisual acuity: ability to detect spatial details Contrast Sensitivity (spatial): how visual acuity changesContrast Sensitivity (spatial): how visual acuity changes with spatial frequency and orientation for a given surrounding luminance
Copyright 2010 by Lina J. Karam
Contrast SensitivityContrast SensitivityVisual acuity: ability to detect spatial details Contrast Sensitivity (spatial): how visual acuity changesContrast Sensitivity (spatial): how visual acuity changes with spatial frequency and orientation for a given surrounding constant luminance
Copyright 2010 by Lina J. Karam
Contrast SensitivityContrast SensitivitySpatial frequency
i l d h l h f h li h• is not related to the wavelength of the light • is the number of oscillations in a given space
0o
10o
30o
0 1o10o0
30o
0o 1o
4 cycles/retinal arc
30o
10o0o
10o
30o
0o 0.5o
4 cycles/half retinal arc 8 l / ti l
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30o = 8 cycles/retinal arc
Contrast SensitivityContrast SensitivitySpatial contrast sensitivity function varies with orientation
Spatio temporal contrast sensitivity function: how visual acuitySpatio-temporal contrast sensitivity function: how visual acuity changes with spatial frequency, orientation, and temporal frequency for a given surrounding constant luminanceA h ti h ti t t iti itCopyright 2010 by Lina J. Karam
Achromatic versus chromatic contrast sensitivity
Luminance Masking/Light AdaptationLuminance Masking/Light AdaptationContrast sensitivity function varies in function of the background luminance levels. gLuminance masking experiments:•Vary luminance level of flat background over which the sinusoidal grating is superimposed and repeat “contrastsinusoidal grating is superimposed and repeat contrast sensitivity” experiment for each luminance level•Obtain luminance-adjusted contrast sensitivity JND threshold
L
β
L
β
L
β
L+ΔLL+ΔLL+ΔL
Copyright 2010 by Lina J. Karam
Base CSF (e.g., neutral gray flat background)
Contrast MaskinggConstant background replaced with a “masking stimulus” (masker) on
TargetMasker
g ( )which the target signal (to be detected) is superimposed.
ΔL is amplitude of target sinusoidal gratingTh ll ΔL f hi h h i i ibl iThe smallest ΔL for which the target is visible is contrast
masking detection (JND) threshold.
Repeat “contrast sensitivity” like experiment for different maskers (background sinusoids with different frequencies, i i d li d )
Copyright 2010 by Lina J. Karam
orientations, and amplitudes)
Color VisionColor VisionCones in the human retina contains one of 3 pigments
• sensitive to short wavelengths (blue)sensitive to short wavelengths (blue)• sensitive to middle wavelengths (green)• sensitive to long wavelengths (red)g g ( )
Comparison of outputs of different cones
nce
S‐ConeM‐Cone L‐Cone1
ized
abs
orba
S Cone
Nor
mal
i
0
Higher Frequency Lower Frequency
Copyright 2010 by Lina J. Karam
500nm wavelength (nm), λ400nm 600nm 700nm
Color VisionVisible range of electromagnetic spectrum
λ380nm 780nm
γ rays x rays ultraviolet visible infrared microwaves radioλ
T T: time period in secondsλT T: time period in secondsf : frequency in cycles/sec f = 1/T cycles/second (Hertz)
λ: spatial period in metersλ: spatial period in metersf = c/λ cycles/second (Hertz)λ = c/f = c .Tf
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TimeSpace
f
Color VisionColor VisionCones in the human retina contains one of 3 pigments
• sensitive to short wavelengths (blue)sensitive to short wavelengths (blue)• sensitive to middle wavelengths (green)• sensitive to long wavelengths (red)g g ( )
Majority of cones are “red” and “green” cones; less than bl10% “blue”
“Blue” cones have high color discrimination sensitivityBlue cones have high color discrimination sensitivity than the other cone types – humans can distinguish between a variety of blue hues
Copyright 2010 by Lina J. Karam
y
Color VisionColor VisionRelative color sensitivity of cones
• Typical normalizes absorption spectra of cones also
ance
1
Typical normalizes absorption spectra of cones, also known as spectral response curves
SB(λ) SG(λ) SR(λ)
lized
abs
orb
wavelength (nm) λ500nm
Nor
mal
400nm 600nm0
Higher Frequency Lower Frequency
700nm wavelength (nm), λ500nm400nm 600nm 700nm
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Color VisionColor Vision Cortical Pegsconcerned with color
Visual Cortexcolor
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Color Sensitive CellSingle‐Opponent Color Sensitive Cell
G
+‐ ‐
‐‐
Red
Green +
Green
Red
‐
‐‐
‐
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Color Sensitive CellSingle‐Opponent Color Sensitive Cell
Y ll Bl
+‐ ‐
‐‐
Yellow
Blue +‐
‐‐
‐Blue
Yellow
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Color Sensitive CellDouble‐opponent Color‐Contrast Cortical Cell
R+G+R‐
G‐R
G+R‐
GreenRed
Best Stimulus
R
R+G‐
Double‐opponent red‐green color‐contrast cortical cells with concentric receptive fields are highly sensitive to
Some Double‐opponent simple cells also exhibit
GreenRedG‐
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receptive fields are highly sensitive to simultaneous color contrast
simple cells also exhibit orientation selectivity
Color VisionRelative color sensitivity of cones
3 types of cones: each has a different peak absorption– 3 types of cones: each has a different peak absorption frequency
– Approximately, 6 millions cones and 100 millions rods – Majority of cones are “red” and “green” cones; less than
10% “blue” cones“Bl ” h hi h l di i i i i i i– “Blue” cones have high color discrimination sensitivity than the other cone types – humans can distinguish between a variety of blue huesy
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Color VisionLight
• Electromagnetic radiation • It is described as a function P(λ) of optical power intensity asIt is described as a function P(λ) of optical power intensity as
a function of wavelength, λ• This function is called Spectral Power Distribution (SPD)
Visible LightVisible Light• Electromagnetic radiation that stimulates our visual response• SPD of visible light contain wavelengths in the range 370 to
730 nanometers (nm)730 nanometers (nm)• Color of light depends on the distribution of the power
intensities over the visible spectrum• Different wavelengths appear different colorsg pp• Each wavelength is associated with a color
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Color VisionExamples of Spectral Power Distributions (SPDs)
1Fluorescent Light
wavelength, λ (nm )400 500 600 7000
1 Equal Power White (also known as
0
Equal Energy White)
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wavelength, λ (nm )400 500 600 7000
Color VisionExamples of Spectral Power Distributions (SPDs)
11Blue color
wavelength λ (nm )400 500 600 7000
• Spectral power distributions consisting of a single wavelengths correspond to a pure, saturated (undiluted), color – known as
h ti li ht
wavelength, λ (nm )400 500 600 700
monochromatic light
Copyright 2010 by Lina J. Karam
Color VisionExamples of Spectral Power Distributions (SPDs)
11Green color
wavelength λ (nm )400 500 600 7000
• Spectral power distributions consisting of a single wavelengths correspond to a pure, saturated (undiluted), color – known as
h ti li ht
wavelength, λ (nm )400 500 600 700
monochromatic light
Copyright 2010 by Lina J. Karam
Color VisionExamples of Spectral Power Distributions (SPDs)
1 Red color1 Red color
wavelength λ (nm )400 500 600 7000
• Spectral power distributions consisting of a single wavelengths correspond to a pure, saturated (undiluted), color – known as
h ti li ht
wavelength, λ (nm )400 500 600 700
monochromatic light
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Color VisionExamples of Spectral Power Distributions (SPDs)
1 h l1 White color
wavelength λ (nm )400 500 600 7000
• The three above monochromatic colors viewed together look white.
wavelength, λ (nm )400 500 600 700
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Color VisionColored Objects
• Color of object defined by two spectras rface reflectance of an object‒ surface reflectance of an object
‒ light source shining on object1
Obj
1 Incandescent Light
Object
×
λ (nm )400 500 600 7000
λ (nm )400 500 600 7000
1
=Object Color
Copyright 2010 by Lina J. Karamλ (nm )400 500 600 700
0
Color VisionMetamerism property of vision
• Two different spectra can give the same color
11
λ (nm )400 500 600 7000
λ (nm )400 500 600 7000
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Color VisionColor Sensation
1 S (λ) SG(λ) (λ)
Cone Spectral Response
1SPD
1 SB(λ) SG(λ) SR(λ)1
×
λ500nm400nm 600nm0
700nmλ (nm )400 500 600 700
0
λ500nm400nm 600nm700nm
1 ∫=max
min
)()(λ
λ
λλλ dSPC jj
=
0
Integrate each curve toget area under each curve
Copyright 2010 by Lina J. Karam
λ (nm )400 500 600 7000
Color Vision1
SPD
λ (nm )10 50 100 1500
“Indeed rays, properly expressed, are not colored”I N t 1675Isaac Newton, 1675
Power distributions exist in the physical worldColor exists only in the eye and the brain
Copyright 2010 by Lina J. Karam
Color exists only in the eye and the brain
Color Vision
Color sensation - perceptual attributes1. Brightness – perceived Luminance2. Hue – color3. Saturation – amount of white light diluting the color
Copyright 2010 by Lina J. Karam
Luminance Computation Luminance measured by:
• Weighting the light intensity distribution (given by SPD) by h l i l f hthe relative spectral responses of the cones
• Summing the resulting weighted intensities
Relative spectral responses of the cones
0.2
by each
R RR
t absorbe
d b RG
RR
same intensity
RB0.01
ction of light
e of con
e
same intensity
Copyright 2010 by Lina J. Karam
400 700550 λ (nm)Frac
typ
Luminance Computation i ffi i f i f h (λ)Luminous efficiency function of the eye - E(λ)
• Normalized sum of the cones’ relative spectral responses
• Describes the relative “brightness” sensitivity of the eye at each wavelength
Peak at 555nm in the green‐yellow part
0 8
1.0
0.4
0.6
0.8
380 460 540 620 700 780 λ (nm)0
0.2
0.4
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380 460 540 620 700 780 λ (nm)
Luminance and Brightness i f li h i h (λ )Luminance Y of a light source with SPD P(λ )
1 1.0
Luminous Efficiency, E(λ)
0 4
0.6
0.81.0
×
λ (nm )400 500 600 7000
380 460 540 620 700 780 λ (nm)00.20.4
1)()( λλ EP
∫=max
i
)()(λ
λ
λλλ dEPYY
λ (nm )400 500 600 7000
Integrate curve toget area under curve
minλ
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λ (nm )400 500 600 700