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Volume 30 Issue 3
Dec.  2010
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Sun Xiao-li, Feng Xiang-chu, Song Guo-xiang . The Study of Correlation between Directed Diffusion Equation and Wavelet Transform[J]. Journal of Electronics & Information Technology, 2008, 30(3): 593-595. doi: 10.3724/SP.J.1146.2006.01278
Citation: Sun Xiao-li, Feng Xiang-chu, Song Guo-xiang . The Study of Correlation between Directed Diffusion Equation and Wavelet Transform[J]. Journal of Electronics & Information Technology, 2008, 30(3): 593-595. doi: 10.3724/SP.J.1146.2006.01278

The Study of Correlation between Directed Diffusion Equation and Wavelet Transform

doi: 10.3724/SP.J.1146.2006.01278 cstr: 32379.14.SP.J.1146.2006.01278
  • Received Date: 2006-08-29
  • Rev Recd Date: 2007-01-08
  • Publish Date: 2008-03-19
  • Based on the point that directed diffusion equation is a diffusion process with direction, the correlation between directed diffusion and wavelet transform is studied in this paper. At first, the last low-frequency image after wavelet decomposition can be an initial approximation of the next low-frequency image. It is tested and verified that the last low-frequency image can diffuse and converge to the next low-frequency image. On the other hand, the next low-frequency image can also diffuse and converge to the last low-frequency image. Above process just presents the gradual variation of wavelet decomposition and reconstruction. So the interative diffusion of directed diffusion equation can realize wavelet decomposition and reconstruction in two contiguous layers. With the reduction of time interval, the gradual variation of wavelet decomposition and reconstruction can be observed in more and more fine scales.
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  • Illner R and Neunzert H. Relative entropy maximization anddirected diffusion equations, Math[J].Meth. Appl. Sci.1993,16(10):545-554[2]Illner R, and Tie J. On directed diffusion with measurablebackground, Math[J].Meth. Appl. Sci.1993, 16(10):681-690[3]Weickert J. Anisotropic diffusion in image processing.[Doctor Thesis]. Germany: University of Kaiserslautern,1996.[4]冯象初, 甘小冰, 宋国乡. 数值泛函与小波理论. 西安: 西安电子科技大学出版社, 2003: 105-122.[5]陆金甫, 关治. 偏微分方程数值解法(第2 版). 北京:清华大学出版社, 2003: 58-100.[6]胡健伟, 汤怀民. 微分方程数值方法. 北京: 科学出版社,1999, 2-5 章.[7]Zhuang Xinhua, Haralick R M, and Zhao Yunxin. Maximumentropy image reconstruction, IEEE Trans. on signalprocessing, 1991, 39(6): 1478-1480.
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