Lossless/near-lossless color image coding by inverse demosaicing

Ryo Kuroiwa, Ryo Matsuoka, Seisuke Kyochi, Keiichiro Shirai, Masahiro Okuda
2014 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
In this paper, we introduce a novel framework for lossless/nearlossless (LS/NLS) color image coding assisted by an inverse demosaicing. Conventional frameworks are typically based on prediction (and quantization for NLS coding) followed by entropy coding, such as the JPEG-LS for bit rate saving. The approach of this work is totally different from the conventional ones. Basically, color images are created by demosaicing Bayer-pattern color filter array (CFA) whose operator can be expressed as
more » ... are matrices. By using the (pseudo) inverse matrix of a joint demosaicing and color-to-gray conversion, the proposed decoder can recover the color image from its corresponding gray image data which is losslessly transmitted by the proposed encoder. Thus, LS/NLS color image reconstruction can be achieved while saving a bit rate significantly. In addition, using the same framework of color image coding, LS/NLS CFA coding can be realized by a comparable bit rate with JPEG-LS. Index Termslossless/near-lossless color image coding, demosaicing, inverse problem
doi:10.1109/icassp.2014.6853951 dblp:conf/icassp/KuroiwaMKSO14 fatcat:avxderxnq5dhjcqxny6zakp6oq