基于形态学膨胀操作的小波图像压缩编码算法
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摘要
提出了一种基于形态膨胀运算的对子带间重要系数位置信息进行联合编码的新型小波图像压缩编码算法。该算法首先对同一分辨率下水平、垂直、对角线子带内重要系数的位置信息统一表示在一个子带中,然后依据小波图像的能量聚类特性,采用一种形态膨胀编码算法来对重要系数的位置信息进行高效压缩编码。试验结果表明,该算法要优于零树小波图像压缩编码算法。
A new wavelet image compression algorithm was proposed based on morphological dilation and the positional information of the important coefficient couplet belt.In this algorithm,the position information of important factor in horizontal,vertical and diagonal sub-belt of the same resolution is uniformly denoted in one sub-belt,then based on the wavelet image with the energy clustering features,the morphological dilation method is used to compress the important coefficient positional information effectively.The experimental results show that this algorithm is superior to the zero tree wavelet image compression algorithm.
A new wavelet image compression algorithm was proposed based on morphological dilation and the positional information of the important coefficient couplet belt.In this algorithm,the position information of important factor in horizontal,vertical and diagonal sub-belt of the same resolution is uniformly denoted in one sub-belt,then based on the wavelet image with the energy clustering features,the morphological dilation method is used to compress the important coefficient positional information effectively.The experimental results show that this algorithm is superior to the zero tree wavelet image compression algorithm.
引文
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[2]SHAPRIO J M.Embedded image coding using zerotree ofwavelet coefficients[J].IEEE Trans on Signal Process-ing,1993,41(12):3445-3462.
[3]SAID A,PEARLMAN W A.A new,fast,and efficientimage codec based on set partitioning in hierarchical trees[J].IEEE Trans on Circuits Syst Video Technol,1996,6(3):243-250.
[4]SERVETTO S D,RAMCHANDRAN K,ORCHARD MT.Image coding based on a morphological representationof wavelet data[J].IEEE Trans on Image Processing,1999,8(9):1161-1174.
[5]CHAI B,VASS J,ZHUANG X.Significance-linked con-nected component analysis for wavelet image coding[J].IEEE Trans on Image Processing,1999,8(6):774-784.
[6]ZHONG J M,LEUNG C H.Image compression based onenergy clustering and zero-quadtree representation[J].IEEE Proceedings of Vision,Image and Signal Process-ing,2000,147(6):564-570.
[7]LAZZARONI Fabio,LEONARDI Riccardo.High-perform-ance embedded morphological wavelet coding[J].IEEESignal Processing letters,2003,10(10):293-295.
[8]刘利章,史浩山,杨少军.基于快速逐次逼近量化的零树编码图像压缩算法[J].计算机工程与应用,2005(14):12-14.LIULi-zhang,SHI Hao-shan,YANG Shao-jun.A zerotreecoding image compression algorithm based on fast succes-sive approximation quantization[J].Computer Engineer-ing and Applications,2005(14):12-14.
[9]刘家胜,刘仁金,仲兴荣.红-黑小波变换[J].皖西学院学报,2004,20(5):26-29.LIU Jia-sheng,LIU Ren-jin,ZHONG Xing-rong.Thered-black wavelet transform[J].Journal of West Anhui U-niversity,2004,20(5):26-29.
[10]吴铮,何明一.小波图像的膨胀-游程编码算法[J].电子与信息学报,2005,27(7):1031-1034.WUZheng,HE Ming-yi.Wavelet image coding by dila-tion-run algorithm[J].Journal of Electronics&Informa-tion Technology,2005,27(7):1031-1034.
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