摘要: A family of two dimensional context models appropriate for palette images is described. The are designed use with a binary arithmetic coder. complete image encoder/decoder using three from the disclosed. new coder compared against five alternate coding methods: JBIG bit plane coding, CALIC predictive plus ordering, and dictionary methods, GIF PNG. aggregate compression achieved by method on corpus fifteen 25% better than best method. appropriateness validated similar methods even though varies widely to image. Remarkably, achieves 20% composite formed each
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