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基于小波域降采样的低比特率图像压缩算法

李庆忠 谷娜娜 刘晓丽

计算机工程2013,Vol.39Issue(4):272-275,279,5.
计算机工程2013,Vol.39Issue(4):272-275,279,5.DOI:10.3969/j.issn.1000-3428.2013.04.062

基于小波域降采样的低比特率图像压缩算法

Low Bit-rate Image Compression Algorithm Based on Down-sampling in Wavelet Domain

李庆忠 1谷娜娜 1刘晓丽1

作者信息

  • 1. 中国海洋大学工程学院,山东青岛266100
  • 折叠

摘要

Abstract

To overcome the image blurring and ringing effect problem encountered in low bit-rate coding of images for wireless transmission,an efficient image compression algorithm via adaptive down-sampling and interpolation in wavelet domain is presented.At the encoding end,the image is transformed to wavelet domain,and the high frequency subbands are down-sampled adaptively according to their characteristics.The down-sampled image is coded by the wavelet tree-based Wavelet Difference Reduction(WDR) algorithm.At the decoding end,the decoded high frequency subbands are enlarged by using an edge direction based interpolation method,and the reconstructed image is post processed by a strong edge based adaptive filter to eliminate the ringing effect.Experimental results show that compared with the spatial down-sampling based compression algorithm,the proposed algorithm possesses higher decoding quality of images at low bit-rate,thus effectively alleviates the image blurring and ringing effect.

关键词

降采样/图像压缩/图像插值/低比特率编码/小波变换/振铃效应

Key words

down-sampling/ image compression/ image interpolation/ low bit-rate coding/ wavelet transform/ ringing effect

分类

信息技术与安全科学

引用本文复制引用

李庆忠,谷娜娜,刘晓丽..基于小波域降采样的低比特率图像压缩算法[J].计算机工程,2013,39(4):272-275,279,5.

基金项目

国家"863"计划基金资助项目(2006AA09Z237) (2006AA09Z237)

计算机工程

OACSCDCSTPCD

1000-3428

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