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基于自适应空域滤波的图像去块效应算法
引用本文:张学全,顾晓东,孙辉先.基于自适应空域滤波的图像去块效应算法[J].计算机工程,2009,35(4):218-220.
作者姓名:张学全  顾晓东  孙辉先
作者单位:1. 中国科学院空间科学与应用研究中心,北京,100080;中国科学院研究生院,北京,100080
2. 中国科学院空间科学与应用研究中心,北京,100080
摘    要:分块有损压缩图像忽略了块间相关性,重构时会产生块效应,该文提出一种空域自适应去块效应算法。对块边缘采用方向自适应有理滤波,以弱化块效应。根据块的内部活动性将图像块分成平坦块和纹理块2类,利用基于方差的空域检测方法检测出平坦块,并对平坦块进行邻块边缘自适应平滑。实验结果表明,该算法有效去除了块效应,一定程度上提高了信噪比,算法简单且鲁棒性较好。

关 键 词:分块压缩图像  去块效应  邻域自适应滤波
修稿时间: 

Deblock Algorithm for Compressed Image Based on Adaptive Space Domain Filtering
ZHANG Xue-quan,GU Xiao-dong,SUN Hui-xian.Deblock Algorithm for Compressed Image Based on Adaptive Space Domain Filtering[J].Computer Engineering,2009,35(4):218-220.
Authors:ZHANG Xue-quan  GU Xiao-dong  SUN Hui-xian
Affiliation:1.Center for Space Science and Applied Research;Chinese Academy of Sciences;Beijing 100080;2.Graduate University of Chinese Academy of Sciences;Beijing 100080
Abstract:Block lossy image compression often introduces quantization noise which exhibits block artifact in the reconstructed image especially when the compression ratio is high.This paper introduces a deblock algorithm using space domain adaptive filtering.The algorithm uses an edge-adaptive filter to smooth the block edges of the image to alleviate the block artifact.The uniform blocks of the image is detected using a variation-based method and is smoothed using a neighbor block-relied filtering method.Experimenta...
Keywords:block based compressed image  deblock  neighborhood adaptive filtering  
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