TY - GEN
T1 - Coding of mosaic image based on wavelet sub-band substitute
AU - Cheng, Yongqiang
AU - Zhang, Xueying
AU - Wen, Junhai
PY - 2010
Y1 - 2010
N2 - In this paper, we propose a visual lossless compression scheme of mosaic image based on wavelet sub-band substitute. The proposed compression scheme consists of three coding pipelines: green component lossless coder, red component near-lossless coder and blue component near-lossless coder. Firstly, full resolution green image which is demosaiced from raw mosaic image is produced and green mosaic image is losslessly coded by LOCO-I scheme designed by Weinberger. Then low frequency sub-bands of red and blue mosaic component are also coded by LOCO-I while their high frequency sub-bands are ignored. In the decoder, the high frequency sub-bands of red and blue mosaic component are taken from the high frequency sub-bands of full resolution green image which locate at the same position as raw red or blue mosaic image, so we can reconstruct raw red or blue mosaic image based on decoded low frequency sub-bands of red and blue mosaic component. Consequently, we can encode mosaic images at low complexity level at higher compression ratio. Compared with JPEG2000, the performance of proposed method is apparently better.
AB - In this paper, we propose a visual lossless compression scheme of mosaic image based on wavelet sub-band substitute. The proposed compression scheme consists of three coding pipelines: green component lossless coder, red component near-lossless coder and blue component near-lossless coder. Firstly, full resolution green image which is demosaiced from raw mosaic image is produced and green mosaic image is losslessly coded by LOCO-I scheme designed by Weinberger. Then low frequency sub-bands of red and blue mosaic component are also coded by LOCO-I while their high frequency sub-bands are ignored. In the decoder, the high frequency sub-bands of red and blue mosaic component are taken from the high frequency sub-bands of full resolution green image which locate at the same position as raw red or blue mosaic image, so we can reconstruct raw red or blue mosaic image based on decoded low frequency sub-bands of red and blue mosaic component. Consequently, we can encode mosaic images at low complexity level at higher compression ratio. Compared with JPEG2000, the performance of proposed method is apparently better.
KW - Bayer image
KW - Coding
KW - Sub-band substitute
KW - Wavelet
UR - http://www.scopus.com/inward/record.url?scp=78650455080&partnerID=8YFLogxK
U2 - 10.1109/PCSPA.2010.169
DO - 10.1109/PCSPA.2010.169
M3 - Conference contribution
AN - SCOPUS:78650455080
SN - 9780769541808
T3 - Proceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010
SP - 679
EP - 683
BT - Proceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010
T2 - 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010
Y2 - 17 September 2010 through 19 September 2010
ER -