基于小波变换的图像压缩编码研究综述

A Review of Image Compression Coding Based on Wavelet Transform

图像压缩是指以尽量少的比特数代表原来图像的技术。小波变换由于在时域和频域同时具有局域化特性,弥补了DCT变换的不足,其多分辨率特性还便于与人眼视觉特性相结合。小波图像编码还便于与其它新兴图像编码方法相结合,成为当前研究热点。文中介绍了小波变换的基本理论,讨论了小波图像压缩研究现状和进展,并指出存在的主要问题,最后展望小波图像压缩编码的发展前景。

Image compression is a technology which uses as few as possible bits to represent the original image. As wavelet transform has local characteristics on the time and frequency domain, it makes up the deficiency of DCT. Moreover, its multi-resolution characteristics can easily associate with the human visual system （HVS）. Wavelet-based image compression is prone to combining with new image coding methods. It has already become the research hotspots at present. This paper introduces wavelets theory, and discusses the research and progress of wavelet-based image compression, and then points out the main problems. Finally, it looks forward to its future development.