文章基本信息

标题：Image Compression and Filtering Operation Analysis using Integer Wavelet Transform
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作者：Pallavi Pooja ; Tilak mukherjee ; Kanak Kumar 等
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：9
页码：3178-3181
出版社：Shri Pannalal Research Institute of Technolgy
摘要：In image compression, the motive is to reduce the data redundancy significantly, both in spatial and frequency domain, without much affecting the quality of the picture. Almost lossless reversible image compression model is proposed for both continuous and discrete time cases, exploiting integer wavelet transform(IWT) employing lifting scheme(LS).Unlike its conventional counterpart in wavelet decomposition,here both approximation as well as detailed image contents are splitted providing better compression ratio. Both forward and inverse lifting schemes are exploited so as to reduce the computational complexity and achieve superior compression performance in terms of encoding time, decoding time, PSNR and better compression ratio(CR). Bi-orthogonal wavelets are constructed using lifting scheme that makes optimal use of both high pass and low pass filter values,with addition and shift operations to be performed on the resulting wavelet coefficients. This paper projects the robustness of IWT employing LS used in real time compression o f images involving non smooth domains.
关键词：Lifting scheme LS; IWT;PSNR;CR;DWT; Bi- ; orthogonal wavelets