15-463: computational photography alexei efros, cmu, fall...

Capturing Light… in man and machine

15-463: Computational PhotographyAlexei Efros, CMU, Fall 2005Some figures from Steve Seitz, Steve

Palmer, Paul Debevec, and Gonzalez et al.

Image Formation

Digital Camera

The Eye

Film

Digital camera

A digital camera replaces film with a sensor array• Each cell in the array is light-sensitive diode that converts photons to electrons• Two common types

– Charge Coupled Device (CCD)– CMOS

• http://electronics.howstuffworks.com/digital-camera.htm

http://electronics.howstuffworks.com/digital-camera.htm

Sensor Array

CMOS sensor

Sampling and Quantization

Interlace vs. progressive scan

http://www.axis.com/products/video/camera/progressive_scan.htm


Progressive scan



Interlace



The Eye

The human eye is a camera!• Iris - colored annulus with radial muscles• Pupil - the hole (aperture) whose size is controlled by the iris• What’s the “film”?

– photoreceptor cells (rods and cones) in the retina

The Retina

Cross-section of eye

Ganglion cell layer

Bipolar cell layer

Receptor layer

Pigmentedepithelium

Ganglion axons

Cross section of retina

Retina up-close

Light

© Stephen E. Palmer, 2002

Conescone-shaped less sensitiveoperate in high lightcolor vision

Two types of light-sensitive receptors

cone

rod

Rodsrod-shapedhighly sensitiveoperate at nightgray-scale vision

Rod / Cone sensitivity

The famous sock-matching problem…


Distribution of Rods and Cones

0

150,000100,00050,000

020 40 60 8020406080

Visual Angle (degrees from fovea)

Rods

Cones Cones

Rods

FoveaBlindSpot

# R

ecep

tors

/mm

2

Night Sky: why are there more stars off-center?

Electromagnetic Spectrum

http://www.yorku.ca/eye/photopik.htm

Human Luminance Sensitivity Function

Why do we see light of these wavelengths?


.

0 1000 2000 3000

Ene

rgy

Wavelength (nm)

400 700

700 C

2000 C

5000 C

10000 C

VisibleRegion

…because that’s where theSun radiates EM energy

Visible Light

The Physics of Light

Any patch of light can be completely describedphysically by its spectrum: the number of photons (per time unit) at each wavelength 400 - 700 nm.

400 500 600 700

Wavelength (nm.)

# Photons(per ms.)



# P

hoto

ns

D. Normal Daylight

Wavelength (nm.)

B. Gallium Phosphide Crystal

400 500 600 700

# P

hoto

ns

Wavelength (nm.)

A. Ruby Laser

400 500 600 700

400 500 600 700

# P

hoto

ns

C. Tungsten Lightbulb

400 500 600 700

# P

hoto

ns

Some examples of the spectra of light sources



Some examples of the reflectance spectra of surfaces

Wavelength (nm)

% P

hoto

ns R

efle

cted

Red

400 700

Yellow

400 700

Blue

400 700

Purple

400 700


The Psychophysical Correspondence

There is no simple functional description for the perceivedcolor of all lights under all viewing conditions, but …...

A helpful constraint:Consider only physical spectra with normal distributions

area

Wavelength (nm.)

# Photons

400 700500 600

mean

variance



Mean Hue

yellowgreenblue

# P

hoto

ns

Wavelength



Variance Saturation

Wavelength

high

medium

low

hi.

med.

low# P

hoto

ns



Area Brightness#

Pho

tons

Wavelength

B. Area Lightness

bright

dark



400 450 500 550 600 650

RE

LATI

VE

AB

SO

RB

AN

CE

(%)

WAVELENGTH (nm.)

100

50

440

S

530 560 nm.

M L

Three kinds of cones:

Physiology of Color Vision

• Why are M and L cones so close?• Are are there 3?

More Spectra

metamers

Color Sensing in Camera (RGB)

3-chip vs. 1-chip: quality vs. costWhy more green?

http://www.cooldihttp://www.cooldictionary.com/words/Bayertionary.com/words/Bayer--filter.wikipediafilter.wikipedia

Why 3 colors?

Practical Color Sensing: Bayer Grid

Estimate RGBat ‘G’ cels from neighboring values

http://www.cooldictionary.com/words/Bayer-filter.wikipedia

RGB color space

RGB cube• Easy for devices• But not perceptual• Where do the grays live?• Where is hue and saturation?

HSV

Hue, Saturation, Value (Intensity)• RGB cube on its vertex

Decouples the three components (a bit)Use rgb2hsv() and hsv2rgb() in Matlab

White Balance

White World / Gray World assumptions

Programming Assignment #1

• How to compare R,G,B channels?• No right answer

• Sum of Squared Differences (SSD):

• Normalized Correlation (NCC):

Image Pyramids (preview)

Known as a Gaussian Pyramid [Burt and Adelson, 1983]• In computer graphics, a mip map [Williams, 1983]• A precursor to wavelet transform

Image Formation

f(x,y) = reflectance(x,y) * illumination(x,y)Reflectance in [0,1], illumination in [0,inf]

Problem: Dynamic Range

15001500

11

25,00025,000

400,000400,000

2,000,000,0002,000,000,000

The real world isHigh dynamic range

pixel (312, 284) = 42pixel (312, 284) = 42

ImageImage

42 photos?42 photos?

Is Camera a photometer?

Long Exposure

10-6 106

10-6 106

Real world

Picture

0 to 255

High dynamic range

Short Exposure

10-6 106

10-6 106

Real world

Picture

0 to 255

High dynamic range

sceneradiance

(W/sr/m )

scenesceneradianceradiance

(W/(W/sr/msr/m ))

∫∫sensorirradiance

sensorsensorirradianceirradiance

sensorexposuresensorsensor

exposureexposure222

ΔΔtt

LensLensLens ShutterShutterShutter

analogvoltagesanalog

voltagesdigitalvaluesdigitalvalues

pixelvaluespixel

values

CCDCCD ADCADC RemappingRemapping

Image Acquisition Pipeline

Camera is NOT a photometer!

Varying Exposure

What does the eye sees?

The eye has a huge dynamic rangeDo we see a true radiance map?

Eye is not a photometer!

"Every light is a shade, compared to the higher lights, till you come to the sun; and every shade is a light, compared to the deeper shades, till you come to the night."

— John Ruskin, 1879

Cornsweet Illusion

CampbellCampbell--Robson contrast sensitivity curveRobson contrast sensitivity curve

Sine wave

Metamers

Eye is sensitive to changes(more on this later…)

15-463: computational photography alexei efros, cmu, fall...

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