Illuminant estimation
First Claim
1. A method of chromagenic illuminant estimation in which, from mutually corresponding images with different sets of spectral components, a fraction of the brightest pixels are selected for subsequent chromagenic estimation, wherein the act of selecting the fraction of the brightest pixels comprises selecting a particular fraction of pixels from each of the corresponding images in descending order of brightness from the brightest pixel in each of the corresponding images.
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Abstract
In a method of chromagenic illuminant estimation pixels from mutually-corresponding images with different filtering (e.g. a filtered image and an unfiltered image) are compared, a fraction of the brightest pixels being selected for a subsequent chromagenic estimation. The pixels may be at corresponding locations or they may correspond in that their mean brightness is in the same rank order. In one method, in which, in a first preprocessing stage, for a database of m lights Ei (λ) and n surfaces Sj (λ) there is calculated Ti˜QF Q+ where Q1F and QF represent the matrices of unfiltered and filtered sensor responses to the n surfaces under the i th light and + denotes an inverse, and in a second operation stage, given P surfaces in an image and 3×P matrices Q and QF, from these matrices there are chosen the r % brightest pixels giving the matrices Q′ and Q′F, and the scene illuminant Pest is estimated where formula (I) and (II).
3 Citations
15 Claims
- 1. A method of chromagenic illuminant estimation in which, from mutually corresponding images with different sets of spectral components, a fraction of the brightest pixels are selected for subsequent chromagenic estimation, wherein the act of selecting the fraction of the brightest pixels comprises selecting a particular fraction of pixels from each of the corresponding images in descending order of brightness from the brightest pixel in each of the corresponding images.
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12. A method of chromagenic illuminant estimation using mutually corresponding images with different sets of spectral components, wherein:
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a. in a first preprocessing stage, for a database of m lights Ei (λ
) and n surfaces Sj (λ
) there is calculated Ti≈
QiFQi+ where Qi and QiF represent the matrices of unfiltered and filtered sensor responses to the n surfaces under the i th light and + denotes an inverse, andb. in a second operation stage, given P surfaces in an image and 3×
P matrices Q and QF, from these matrices there are chosen a particular fraction of the brightest pixels from each of the corresponding images in descending order of brightness from the brightest pixel in each of the corresponding images, giving the matrices Q′ and
Q′
F, and the scene illuminant ρ
est is estimated where - View Dependent Claims (13, 14)
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15. An image treatment method comprising:
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performing chromagenic illuminant estimation, in which, from mutually corresponding images with different sets of spectral components, a fraction of the brightest pixels are selected for subsequent chromagenic estimation, wherein one of the mutually corresponding images is being treated to remove color bias, wherein the selecting of the fraction of the brightest pixels comprises selecting a particular fraction of pixels from each of the corresponding images in descending order of brightness from the brightest pixel in each of the corresponding images; and using the chromagenic illuminant estimation to remove colour bias from the image being treated.
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Specification