scholarly journals A Remainder Set Near-Lossless Compression Method for Bayer Color Filter Array Images

2012 ◽  
Vol 25 ◽  
pp. 1794-1801 ◽  
Author(s):  
Shan Baotang ◽  
Shen Tingzhi ◽  
Wang Weijiang
2013 ◽  
Vol 321-324 ◽  
pp. 1219-1224
Author(s):  
Bao Tang Shan ◽  
Fa Nian Wang ◽  
Juan Gao

In order to improve the compression performance of Bayer CFA images exposed continuously, a new high performance remainder set near-lossless compression method is presented. Based on channel-separated-filtering, several typical Bayer CFA image compression methods are compared with the proposed remainder set algorithm. It is proved that the remainder set algorithm has not only the better compression performance, i.e., the lower bits per pixel (average about 2.16bpp), but also the better reconstructed CFA image PSNR (average about 52.31dB). Finally, the proposed method is employed in a multiple channel CMOS image sampling system and some test results are given.


2018 ◽  
Vol 20 (2) ◽  
pp. 257-270 ◽  
Author(s):  
Miguel Hernandez-Cabronero ◽  
Michael W. Marcellin ◽  
Ian Blanes ◽  
Joan Serra-Sagrista

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 13823-13834 ◽  
Author(s):  
Shahed K. Mohammed ◽  
K. M. Mafijur Rahman ◽  
Khan A. Wahid

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