Color filters: When “optimal” is not optimal

Name: Color filters: When “optimal” is not optimal
Author: Trussell, H. J., Ercan, Ali Özer, Kingsbury, N. G.

İsim	Color filters: When “optimal” is not optimal
Yazar	Trussell, H. J., Ercan, Ali Özer, Kingsbury, N. G.
Basım Tarihi:	2016
Basım Yeri	- IEEE
Konu	Color image processing, Spectral measurement
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2381-8549
Kayıt Numarası	bbd4f1f9-1119-4566-8009-949b2891718c
Lokasyon	Electrical & Electronics Engineering
Tarih	2016
Örnek Metin	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

Kaynağa git Özyeğin Üniversitesi

Aramaya Dön

Özyeğin Üniversitesi

Kaynağa git

Color filters: When “optimal” is not optimal

Yazar Trussell, H. J., Ercan, Ali Özer, Kingsbury, N. G.

Basım Tarihi 2016

Basım Yeri - IEEE

Konu Color image processing, Spectral measurement

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2381-8549

Kayıt Numarası bbd4f1f9-1119-4566-8009-949b2891718c

Lokasyon Electrical & Electronics Engineering

Tarih 2016

Örnek Metin 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