基于上下文建模的分类排序小波图像编码算法

Context-Based Quantization and Sorting in Wavelet Image Coding

该文提出了基于上下文建模的分类排序小波图像编码算法。该方法使用与JPEG2000标准相同的上下文模型,以最小化相对熵为准则用动态规划获得优化的上下文分类。在重要性编码中结合优化的上下文分类进行排序编码。实验数据表明该算法的压缩能力优于JPEG2000,尤其适于低码率压缩。

A context-based quantization and sorting algorithm used in wavelet image coding is proposed. The context template in the scheme is the same as JPEG2000＇s. 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.