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Effective region-based chroma subsampling method for Bayer CFA images
Author(s): Kuo-Liang Chung; Wei-Che Chien; Yu-Ling Lee; Chao-Liang Yu
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Paper Abstract

The Bayer color filter array (CFA) pattern is the most widely used CFA pattern in the digital color cameras market. The chroma 4:2:0 subsampling of Bayer CFA images is a necessary process prior to compression. In this paper, based on the CFA block-distortion minimization criterion, we propose an effective region-based chroma 4:2:0 subsampling method for Bayer CFA images. Based on the test Kodak and IMAX datasets, the experimental results demonstrated that in the current high efficiency video coding (HEVC) reference software HM-16.18, our method has substantial quality of the reconstructed images when compared with the existing six chroma subsampling methods.

Paper Details

Date Published: 31 July 2019
PDF: 5 pages
Proc. SPIE 11198, Fourth International Workshop on Pattern Recognition, 1119802 (31 July 2019); doi: 10.1117/12.2540491
Show Author Affiliations
Kuo-Liang Chung, National Taiwan Univ. of Science and Technology (Taiwan)
Wei-Che Chien, National Taiwan Univ. of Science and Technology (Taiwan)
Yu-Ling Lee, National Taiwan Univ. of Science and Technology (Taiwan)
Chao-Liang Yu, National Taiwan Univ. of Science and Technology (Taiwan)


Published in SPIE Proceedings Vol. 11198:
Fourth International Workshop on Pattern Recognition
Xudong Jiang; Zhenxiang Chen; Guojian Chen, Editor(s)

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