Color filters: When “optimal” is not optimal

Title Color filters: When “optimal” is not optimal
Author Trussell, H. J., Ercan, Ali Özer, Kingsbury, N. G.
Publication Date: 2016
Publication Place - IEEE
Subject Color image processing, Spectral measurement
Type Document
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 2381-8549
Record ID bbd4f1f9-1119-4566-8009-949b2891718c
Library Location Electrical & Electronics Engineering
Date 2016
Sample Text 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.
DOI 10.1109/ICIP.2016.7533108
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Color filters: When “optimal” is not optimal

Author Trussell, H. J., Ercan, Ali Özer, Kingsbury, N. G.
Publication Date 2016
Publication Place - IEEE
Subject Color image processing, Spectral measurement
Type Document
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 2381-8549
Record ID bbd4f1f9-1119-4566-8009-949b2891718c
Library Location Electrical & Electronics Engineering
Date 2016
Sample Text 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.
DOI 10.1109/ICIP.2016.7533108
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