文章基本信息

标题：SPIHT-Based Image Compression Using Optimization of LIS and LIP Encoding
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作者：Xianwei Rong ; Heting Nie ; Weihan Wang 等
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2018
卷号：13
期号：12
页码：1385-1394
DOI：10.17706/jcp.13.12.1385-1394
语种：English
出版社：Academy Publisher
摘要：This paper presents an optimization scheme for encoding the list of insignificant sets (LIS) and the list of insignificant pixels (LIP) to reduce the redundancies existing in the conventional set partitioning in hierarchical trees (SPIHT) based image compression algorithm. This scheme is based upon the investigation of distribution characteristics of wavelet coefficients. A judgment method with a predetermined threshold value is used for the sorting pass of LIS to identify significant coefficients ahead of encoding the LIS. Moreover, a flag bit representing the number of significant coefficients encoded was introduced for encoding LIP to stop scanning LIP once all the significant coefficients have been encoded. Experimental results with various benchmark images show that the modified SPIHT (MSPIHT) achieves better visual quality and higher Peak Signal to Noise Ratio (PSNR) gains. Furthermore, the number of output 0 bits is significantly decreased at various bit rates compared with the original SPIHT.
关键词：Image compression; wavelet transform; SPIHT; LIP; LIS.