一种非线性小波变换在图像压缩中的应用  

The Application of Nonlinear Wavelet Transform in The Image Compression

作　　者：林海波[1] 

机构地区：[1]长春工程学院电气与信息工程学院,吉林长春130012

出　　处：《信号处理》2009年第1期157-160,共4页Journal of Signal Processing

摘　　要：针对小波变换进行图像压缩过程中重建图像易引起边缘振荡的问题,提出了一种非延拓消除边缘振荡的方法。它通过提升算法与传统的非线性ENO-小波变换结合,把高频分量边缘的能量集中到低频分量上,用小波分量模的极大值对跃变点进行奇异性检测,有效地消除了重建图像引起的边缘振荡。仿真实验表明该方法简单有效。Facing the problem of edge oscillation caused by reconstruction image during the compression based on wavelet transform,essentially non-oscillatory without extrapolation （ENOWE） was put forward. Through eombining lifting scheme with traditional nonlinear ENO-wavelet transforms, the high frequency component＇ s energy was concentrated on the low frequency component, and the exact jumps location are detected by local maximum of wavelet transforms, so it damped the edge oscillation caused by reconstruction image effectively. The simulation experiment shows the simplicity and efficiency of the proposed algorithm.

关 键 词：图像压缩 重建图像 小波变换 边缘分解 

分 类 号：TN911.73[电子电信—通信与信息系统]