| Nonlinear Adaptive Wavelet Transform for Lossless Image Compression |
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| 作者姓名： | ZHANG Dong YANG Yan QIN Qianqing |
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| 作者单位： | [1]School of Physics and Technology, Wuhan University,Wuhan 430072, Hubei, China [2]State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, Hubei, China [3]National Engineering Research Center for Multimedia Software, Wuhan University, Wuhan 430079, Hubei, China |
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| 基金项目： | Supported by the National Natural Science Foundation of China （69983005） |
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| 摘 要： | The paper presents a class of nonlinear adaptive wavelet transforms for lossless image compression. In update step of the lifting the different operators are chosen by the local gradient of original image. A nonlinear morphological predictor follows the update adaptive lifting to result in fewer large wavelet coefficients near edges for reducing coding. The nonlinear adaptive wavelet transforms can also allow perfect reconstruction without any overhead cost. Experiment results are given to show lower entropy of the adaptive transformed images than those of the non-adaptive case and great applicable potentiality in lossless image compression.
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| 关 键 词： | 无损失图象压缩 非线性自适应小波变换 非线性算子 形态预报器 |
| 文章编号： | 1007-1202（2007）02-0267-04 |
| 收稿时间： | 2006-04-27 |
Nonlinear adaptive wavelet transform for lossless image compression |
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| ZHANG Dong YANG Yan QIN Qianqing.Nonlinear Adaptive Wavelet Transform for Lossless Image Compression[J].Wuhan University Journal of Natural Sciences,2007,12(2):267-270. |
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| Authors: | Zhang Dong Yang Yan Qin Qianqing |
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| Institution: | (1) School of Physics and Technology, Wuhan University, Wuhan, 430072, Hubei, China;(2) State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, Hubei, China;(3) National Engineering Research Center for Multimedia Software, Wuhan University, Wuhan, 430079, Hubei, China |
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| Abstract: | The paper presents a class of nonlinear adaptive wavelet transforms for lossless image compression. In update step of the lifting the different operators are chosen by the local gradient of original image. A nonlinear morphological predictor follows the update adaptive lifting to result in fewer large wavelet coefficients near edges for reducing coding. The nonlinear adaptive wavelet transforms can also allow perfect reconstruction without any overhead cost. Experiment results are given to show lower entropy of the adaptive transformed images than those of the non-adaptive case and great applicable potentiality in lossless image compresslon. |
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| Keywords: | adaptive wavelets lifting scheme nonlinear operator morphological predictor image compression |
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