文章基本信息

标题：Lossless Image Compression Using New Biorthogonal Wavelets
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作者：M. Santhosh ; B. Stephen Charles ; M N Giriprasad 等
期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2013
卷号：4
期号：6
页码：45
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Even though a large number of wavelets exist, one needs new wavelets for their specific applications. Oneof the basic wavelet categories is orthogonal wavelets. But it was hard to find orthogonal and symmetricwavelets. Symmetricity is required for perfect reconstruction. Hence, a need for orthogonal and symmetricarises. The solution was in the form of biorthogonal wavelets which preserves perfect reconstructioncondition. Though a number of biorthogonal wavelets are proposed in the literature, in this paper four newbiorthogonal wavelets are proposed which gives better compression performance. The new wavelets arecompared with traditional wavelets by using the design metrics Peak Signal to Noise Ratio (PSNR) andCompression Ratio (CR). Set Partitioning in Hierarchical Trees (SPIHT) coding algorithm was utilized toincorporate compression of images.
关键词：biorthogonal wavelets; basis function; filters; compression.