基于小波变换的图像压缩算法的改进

摘要

随着数字化时代的到来，图像数据变得越来越大，人们对于图像的质量要求也越来越高，因此好的图像压缩技术也变得越来越重要。一个高压缩比低失真度的压缩算法是图像压缩研究领域的重点。针对基于小波变换的图像压缩，其压缩比提高的同时，图像也出现较为明显的块状失真的问题，本文提出对经过小波分解后所得到的低频子带图像再进行DPMC四阶线性预测，从而改善由于块状失真问题，实验结果表明该方法在不改变压缩比的条件下对于失真问题有所改善。%With the advent of the digital age, the data of image becomes more and more big, people have higher requirement for the quality of image, so a good image compression technology is also becoming more and more important.An algorithm of high compression ratio and low distortion is the focus of the field of image compression.And for the image compression based on wave-let transform, the distortion of image would become more obvious with the improvement of compression ratio.The low-frequency of sub-band images which comes from wavelet decomposition is applied into the fourth order of DPMC linear prediction to improve the distortion problem.Experimental results show that the problem of the distortion is improved under the conditions of the same compression ratio.