图象编码误差均匀分布压缩方法

Compression Method of the Error Homogeneus Distribution in Image Coding

本文利用视觉特性的非相干压缩和图象编码误差均匀分布的观点,将MHT(M-Hada-mard Transform)应用于图象数据压缩,获得了高压缩比和高质量恢复图象。在标量量化情况下,变换域能量分布分散的MHT具有优良变换性能。得出了与传统变换压缩理论和机理不相同的结果。

M-Hadamard Transform (MHT) is applied to data compression based on irrele- vancy reduction of visual properties and a viewpoint of the error homogeneus distribution for image coding, and a high compression ratio and excellent quality of coded image are obtained. In scalar quantization case, the enorgy distribution of the MHT in transform domain is dispersive, but it possesses excellent trans- form performances. The obtained result is different from that of the convention- al theory and fuction of transform compression.