An algorithmic study on lossless image compression
DCC '96 Proceedings of the Conference on Data Compression
LOCO-I: a low complexity, context-based, lossless image compression algorithm
DCC '96 Proceedings of the Conference on Data Compression
SICLIC: A Simple Inter-Color Lossless Image Coder
DCC '99 Proceedings of the Conference on Data Compression
Lossless Interframe Image Compression via Context Modeling
DCC '98 Proceedings of the Conference on Data Compression
Lossless compression of continuous-tone images via context selection, quantization, and modeling
IEEE Transactions on Image Processing
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This paper addresses the lossless image coding for ultra-high definition television system which supports 4K (4096×2160) resolution image with 22.2ch audio. Ultra High Definition Tele-vision system is being developed to satisfy end-user who has a longing for higher resolution, higher quality, and higher fidelity picture and sound. However, the major characteristic of Ultra High Definition Tele-vision system is considerably huge input information must be processed in real-time compare to conventional systems. Therefore high speed data handling for editing and playing, high speed signal interface between devices and real-time source codecs without delay for saving memory space are unavoidable requirements of ultra-high system. This paper focused on lossless image codec for the reason of real-time processing with reasonable coding gain and the proposed algorithms is pixel based algorithms called spatio-color prediction. The proposed algorithm uses inter-color correlation with spatial correlation appropriately and it shows 5.5% coding efficiency improvement compare to JPEG-LS. The simulation was performed using 4K resolution RGB 10bit images and it is claimed that the proposed lossless coding was verified under the developed Ultra High Definition Tele-vision system.