Context-Based Quantization and Sorting in Wavelet Image Coding

A context-based quantization and sorting algorithm used in wavelet image coding is proposed. The context template in the scheme is the same as JPEG2000s. The optimum context-based quantization is achieved by the means of dynamic programming for minimum relative entropy, and the pixel sorting coding is combined with optimum context quantization in significance coding. The results indicate the compression performance of the proposed algorithm is better than that of JPEG2000, especially at low bit-rate compression.