| A Novel Fractal Wavelet Image Compression Approach |
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| 作者姓名： | SONG Chun-lin FENG Rui LIU Fu-qiang CHEN Xi |
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| 作者单位： | [1]Department of Information ＆ Communications Engineering, Tongji University, Shanghai 200092, China [2]Department of Computer Science ＆ Engineering, Fudan University, Shanghai 200433, China [3]Department of Computer Science and Technology, East China Normal University, Shanghai 200062, China |
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| 摘 要： |
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| 关 键 词： | 小波分析 图像压缩 波域 模式识别 |
| 收稿时间： | 2006-07-06 |
| 修稿时间： | 2006-11-11 |
A Novel Fractal Wavelet Image Compression Approach |
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| SONG Chun-lin FENG Rui LIU Fu-qiang CHEN Xi.A Novel Fractal Wavelet Image Compression Approach[J].Journal of China University of Mining and Technology,2007,17(1):121-125. |
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| Authors: | SONG Chun-lin FENG Rui LIU Fu-qiang CHEN Xi |
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| Affiliation: | 1. Department of Information & Communications Engineering, Tongji University, Shanghai 200092, China;2. Department of Computer Science & Engineering, Fudan University, Shanghai 200433, China;3. Department of Computer Science and Technology, East China Normal University, Shanghai 200062, China |
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| Abstract: | By investigating the limitation of existing wavelet tree based image compression methods, we propose a novel wavelet fractal image compression method in this paper. Briefly, the initial errors are appointed given the different levels of importance accorded the frequency sublevel band wavelet coefficients. Higher frequency sublevel bands would lead to larger initial errors. As a result, the sizes of sublevel blocks and super blocks would be changed according to the initial errors. The matching sizes between sublevel blocks and super blocks would be changed according to the permitted errors and compression rates. Systematic analyses are performed and the experimental results demonstrate that the proposed method provides a satisfactory performance with a clearly increasing rate of compression and speed of encoding without reducing SNR and the quality of decoded images. Simulation results show that our method is superior to the traditional wavelet tree based methods of fractal image compression. |
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| Keywords: | four-fork tree adaptive wavelets fractal image compression |
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