Lossless White Balance for Improved Lossless CFA Image and Video Compression

被引:4
|
作者
Lee, Yeejin [1 ]
Hirakawa, Keigo [2 ]
机构
[1] Seoul Natl Univ Sci & Technol, Dept Elect & Informat Engn, Seoul 01811, South Korea
[2] Univ Dayton, Dept Elect & Comp Engn, Dayton, OH 45469 USA
基金
新加坡国家研究基金会;
关键词
Sensors; Image coding; Image color analysis; Image sensors; Sensor arrays; Correlation; Decorrelation; Color filter array; image compression; video compression; lifting scheme; white balance; COLOR;
D O I
10.1109/TIP.2022.3169687
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Color filter array is a spatial multiplexing of pixel-sized filters fabricated over pixel sensors in most color image sensors. The state-of-the-art lossless coding techniques of raw sensor data captured by such sensors leverage spatial or cross-color correlation using lifting schemes. In this paper, we propose a lifting-based lossless white balance algorithm. When applied to the raw sensor data, the spatial bandwidth of the implied chrominance signals decreases. We propose to use this white balance as a pre-processing step to lossless CFA subsampled image/video compression, improving the overall coding efficiency of the raw sensor data.
引用
收藏
页码:3309 / 3321
页数:13
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