Wednesday, August 1, 2012
0 Computational photography table
Summary of channel sensitivity and color correction matrices. The balance gains and the
sensitivity gain are respectively denoted by G G G and GE .
1 2 3
QE Set Channel Response G G G GE M
1 2 3
1558 0531 0027
RGB 2616 3972 3159 1518 1000 1257 2.616 0078 1477 0399
0039 0508 1469
2000 1373 0373
RPB 2616 10390 3159 3972 1000 3289 1.000 1062 3384 1322
0412 1248 1836
2554 2021 1533
CMY 5134 5486 5929 1155 1081 1000 1.752 0941 1512 1571
1201 1783 1984
reflectance, Qi is the quantum efficiency, and IEI is the exposure index. The additional
values are Planck’s constant h, the speed of light c, the spectral luminous efficiency function
V , and normalization constants arising from the definition of exposure index. Using a
relative spectral power distribution of D65 for the illuminant, a pixel size of l 22 m,
and a spectrally flat 100% diffuse reflector, the mean number of photo-electrons captured
in each pixel at an exposure index of ISO 1000 are shown under “Channel Response” in
Table 1.1.
The balance gains listed are factors to equalize the color channel responses. The sensi-
tivity gain shown is calculated to equalize the white balanced pixel values for all sets of
quantum efficiencies. The color correction matrix shown for each set of quantum efficien-
cies was computed by calculating Equation 1.5 for 64 different color patch spectra, then
finding a color correction matrix that minimized errors between color corrected camera
data and scene colorimetry, as described in Reference [68].
The illustration compares the noise level in images captured at the same exposure index
and corrected to pixel value P . For a neutral, the mean of the balanced pixel values is
C
the same as the color corrected pixel values. Since the raw signals are related to the bal-
anced signal by the gains shown in Table 1.1, the original signal levels can be expressed as
follows:
1 0 0
P
GE G1 C
1
P 0 0 P (1.6)
O GE G2 C
0 0 1 P
C
GE G3
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