Abstract
Bit-plane coding has been widely used in lossless compression of gray-scale images or color palette images. In the context-based encoding procedure, the values of previous significant planes are also considered, which is simplified as surrounding pixel's expectation values. In this paper, we further improved the encoding scheme by context-tree modeling, in which both the order and depth of the context template is optimized. In probability estimation scheme, a forgetting factor and context weighting are utilized. According to our experiments, the proposed method compete with the existing algorithms in lossless compression of gray-scale images, and outperforms all competitive methods in compression or color palette images.
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