计算机与现代化 ›› 2014, Vol. 0 ›› Issue (10): 123-126.doi: 10.3969/j.issn.1006-2475.2014.10.028

• 算法设计与分析 • 上一篇    

基于小波变换的图像压缩算法的改进

  

  1. 1.东华大学,上海201620;2.教育部纺织工程中心,上海201620
  • 收稿日期:2014-07-15 出版日期:2014-11-03 发布日期:2014-11-05
  • 作者简介:阳婷(1990-),女,四川绵阳人,东华大学/教育部纺织工程中心硕士研究生,研究方向:通信与信息系统; 官洪运(1960-),男,教授,研究方向:通信与信息系统; 章文康(1992-),男,江西南昌人,研究方向:通信与信息系统; 樊小晴(1991-),女,山西西安人,研究方向:通信与信息系统。

An Improved Algorithm of Image Compression Based on Wavelet Transform

  1. 1. Donghua University, Shanghai 201620, China;

    2. Textile Engineering Center, The Ministry of Education, Shanghai 201620, China
  • Received:2014-07-15 Online:2014-11-03 Published:2014-11-05

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〖JP2〗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。

关键词: 小波变换, 分解与重构, DPMC线性预测, 图像压缩, 信噪比

Abstract: 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 wavelet 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.

Key words: wavelet transform, decomposition and reconstruction, DPMC linear prediction, image compression, SNR

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