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Reversible color transform for Bayer color filter array images

  • Suvit Poomrittigul (a1), Masanori Ogawa (a1), Masahiro Iwahashi (a1) and Hitoshi Kiya (a2)
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.

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Copyright
The online version of this article is published within an Open Access environment subject to the conditions of the Creative Commons Attribution-NonCommercial-ShareAlike license . The written permission of Cambridge University Press must be obtained for commercial re-use.
Corresponding author
Corresponding author: Masahiro Iwahashi Email: wahashi@vos.nagaokaut.ac.jp
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APSIPA Transactions on Signal and Information Processing
  • ISSN: 2048-7703
  • EISSN: 2048-7703
  • URL: /core/journals/apsipa-transactions-on-signal-and-information-processing
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