Effective Gradient Descent-Based Chroma Subsampling Method for Bayer CFA Images in HEVC

被引：7

作者：

Chung, Kuo-Liang ^{[1
]}

Lee, Yu-Ling ^{[1
]}

Chien, Wei-Che ^{[1
]}

机构：

[1] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei 10672, Taiwan

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY | 2019年 / 29卷 / 11期

关键词：

Image reconstruction; Image color analysis; Image coding; Interpolation; High efficiency video coding; Cameras; Bayer color filter array (CFA) image; chroma subsampling; gradient descent; high efficiency video coding (HEVC); quality; quality-bitrate tradeoff; COMPRESSION;

D O I：

10.1109/TCSVT.2018.2879095

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The most widely used color filter array (CFA) pattern in commercial digital color cameras is the Bayer pattern, and the captured image is called the Bayer CFA image, in which each pixel contains only one color value and each image consists of 25 & x0025; red, 50 & x0025; green, and 25 & x0025; blue color values. The chroma 4:2:2 or 4:2:0 subsampling of Bayer CFA images is a necessary process prior to compression. According to the block-distortion minimization principle, in this paper, we propose an effective gradient descent-based chroma subsampling (GDCS) method for Bayer CFA images. Based on the test Bayer CFA images collected from the Kodak and IMAX datasets, experimental results demonstrated that in high efficiency video coding, our GDCS method has better quality and quality-bitrate tradeoff performance of the reconstructed images when compared with the existing chroma subsampling methods.

引用

页码：3281 / 3290

页数：10

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