APSIPA Transactions on Signal and Information Processing > Vol 2 > Issue 1

Reversible color transform for Bayer color filter array images

Suvit Poomrittigul, Nagaoka University of Technology, Japan, Masanori Ogawa, Nagaoka University of Technology, Japan, Masahiro Iwahashi, Nagaoka University of Technology, Japan, wahashi@vos.nagaokaut.ac.jp , Hitoshi Kiya, Tokyo Metropolitan University, Japan
 
Suggested Citation
Suvit Poomrittigul, Masanori Ogawa, Masahiro Iwahashi and Hitoshi Kiya (2013), "Reversible color transform for Bayer color filter array images", APSIPA Transactions on Signal and Information Processing: Vol. 2: No. 1, e5. http://dx.doi.org/10.1017/ATSIP.2013.6

Publication Date: 27 Sep 2013
© 2013 Suvit Poomrittigul, Masanori Ogawa, Masahiro Iwahashi and Hitoshi Kiya
 
Subjects
 
Keywords
color, image, lossless
 

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Open Access

This is published under the terms of the Creative Commons Attribution licence.

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In this article:
I. INTRODUCTION 
II. EXISTING METHODS 
III. PROPOSED METHOD 
IV. EXPERIMENTAL RESULTS 
V. CONCLUSIONS 

Abstract

In this paper, we propose a reversible color transform (RCT) for color images acquired through a Bayer pattern color filter array. One existing RCT with fixed coefficients is simple to implement. However, it is not adaptive to each of input images. Another existing RCT based on eigenvector of covariance matrix of color components, which is equivalent to Karhunen–Loève transform (KLT), is adaptive. However, it requires heavy computational load. We remove a redundant part of this existing method, utilizing fixed statistical relation between two green components at different locations. Comparing to the KLT-based existing RCT, it was observed that the proposed RCT keeps adaptability and has better coding performance, even though its computational load is reduced.

DOI:10.1017/ATSIP.2013.6