Invertible update-then-predict integer lifting wavelet for lossless image compression

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• 作者：Dong Chen ; Yanjuan Li ; Haiying Zhang…
• 关键词：Integer lifting ; Invertibility ; Lossless image compression ; Update ; then ; predict ; Wavelet
• 刊名：EURASIP Journal on Advances in Signal Processing
• 出版年：2017
• 出版时间：December 2017
• 年：2017
• 卷：2017
• 期：1
• 全文大小：868KB
• 刊物主题：Signal,Image and Speech Processing; Quantum Information Technology, Spintronics;
• 出版者：Springer International Publishing
• ISSN：1687-6180
• 卷排序：2017

文摘

This paper presents a new wavelet family for lossless image compression by re-factoring the channel representation of the update-then-predict lifting wavelet, introduced by Claypoole, Davis, Sweldens and Baraniuk, into lifting steps. We name the new wavelet family as invertible update-then-predict integer lifting wavelets (IUPILWs for short). To build IUPILWs, we investigate some central issues such as normalization, invertibility, integer structure, and scaling lifting. The channel representation of the previous update-then-predict lifting wavelet with normalization is given and the invertibility is discussed firstly. To guarantee the invertibility, we re-factor the channel representation into lifting steps. Then the integer structure and scaling lifting of the invertible update-then-predict wavelet are given and the IUPILWs are built. Experiments show that comparing with the integer lifting structure of 5/3 wavelet, 9/7 wavelet, and iDTT, IUPILW results in the lower bit-rates for lossless image compression.