基于图像复原和小波分析的图像压缩算法

本研究以小波理论为基础进行有损图像压缩，并在小波压缩图像中引入复原技术。通过应用图像复原到低频成分（该成分由解压过程中的熵解码得到）可以检索获得高频成分，这是在频域重建图像纹理的一个表达。通过将本文算法与传统的小波压缩算法进行试验比较，表明该方法优于传统算法。

The Image Compression Algorithm Based on Image Restoration and Wavelet Analysis

In this paper, we carry out lossy image compression which is based on wavelet theory. We introduce image restoration technology into the wavelet compression. By applying image restoration to the lowfrequency component obtained by entropy decoding in decompression process, we retrieve a high-frequency component, which is the expression of reconstructed image texture in frequency domain. As a benchmark, the algorithm we present is compared to the traditional wavelet compression. The results of comparative experiments show that our method performs better than traditional algorithms.