Color filters: When "optimal" is not optimal

It is well known that many more than three or four spectral measurements are required for accurate measurement of color. Previous work has shown seven to ten measurements can yield accurate results on average, but with significant numbers of errors above the threshold of obvious visual detection. Fu...

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Bibliographic Details
Main Authors: Trussell, H. J., Ercan, A. O., Kingsbury, N. G.
Format: Conference Proceeding
Language:English
Subjects:
Cameras
Color
Color image processing
Colored noise
Covariance matrices
Current measurement
Image color analysis
Noise measurement
spectral measurement
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Summary:It is well known that many more than three or four spectral measurements are required for accurate measurement of color. Previous work has shown seven to ten measurements can yield accurate results on average, but with significant numbers of errors above the threshold of obvious visual detection. Furthermore, the filters used for these measurements are very difficult to fabricate. We show that such filters are not needed and, in fact, have much poorer performance, in perceptual quality measured in ΔEab, than simple narrow-band filters. This is especially true in the presence of Poisson noise at a level common in current digital cameras. In realistic Poisson noise, our filter sets of up to 12 filters allow average ΔEab values around 0.5, with maximum errors below 3.
ISSN:2381-8549
DOI:10.1109/ICIP.2016.7533108