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Volume 29 Issue 9
Jan.  2011
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Ni Chao, Li Qi, Xia Liang-zheng. Wavelet Forward and Backward Diffusion for Infrared Image Denoising and Edge Enhancement[J]. Journal of Electronics & Information Technology, 2007, 29(9): 2033-2037. doi: 10.3724/SP.J.1146.2006.00993
Citation: Ni Chao, Li Qi, Xia Liang-zheng. Wavelet Forward and Backward Diffusion for Infrared Image Denoising and Edge Enhancement[J]. Journal of Electronics & Information Technology, 2007, 29(9): 2033-2037. doi: 10.3724/SP.J.1146.2006.00993

Wavelet Forward and Backward Diffusion for Infrared Image Denoising and Edge Enhancement

doi: 10.3724/SP.J.1146.2006.00993 cstr: 32379.14.SP.J.1146.2006.00993
  • Received Date: 2006-07-07
  • Rev Recd Date: 2006-12-04
  • Publish Date: 2007-09-19
  • To achieve infrared image denoising and edge enhancement, a method based on wavelet forward and backward diffusion is introduced. Wavelet forward and backward diffusion is based on wavelet diffusion theory. It not only inherites iterative noise reduction and edge preserving features from wavelet diffusion, but also enhancemented image edge at the same time. In order to solve the problem of using wavelet modulus, it uses both wavelet modulus and local regularity to get elementary edge map, then get accurate edge map with geometric consistency and redesign wavelet forward and backward diffusion equation. Experiment shows that the method can effectively realize infrared image denoising and edge enhancement.
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  • Arthur Chun-Chieh Shih, and Hong-Yuan Mark Liao. A new iterated two-band diffusion equation:theory and its application[J].IEEE Trans. on Image Processing.2003, 12(4):466-476[2]Yue Y, Croitoru M M, and Bidani A et al.. Nonlinear multiscale wavelet diffusion for speckle suppression and edge enhancement in ultrasound images[J].IEEE Trans. on Medical Imaging.2006, 25(3):297-311[3]Perona P and Malik J.Scale-space and edge detection using anistropic diffusion [J]. IEEE Trans. on Pattern Anal. Mach. Intell. 1990, 12(7): 629-639.[4]Acton S T. Edge enhancement of infrared imagery by way of the anisotropic diffusion pyramid[C]. International Conf. on Image Processing 1996, Lausanne, Switzerland, 16-19 Sep, 1996: 865-868.[5]Gilboa G, Sochen N A, and Zeevi Y. Forward and backward diffusion processes for adaptive image enhancement and denoising [J].IEEE Trans. on Image Processing.2002, 11(7):689-703[6]Mallat S and Zhong S. Characterization of signals from multiscale edges [J].IEEE Trans. on Pattern Anal. Mach. Intell.1992, 14(7):710-732[7]Scharcanski J, Jung C R, and Clarke R T. Adaptive image denoising using scale and space consistency [J].IEEE Trans. on Image Processing.2002, 11(9):1092-1101[8]Zhong Junmei and Ning Ruola. Image denoising based on wavelets and multifractals for singularity detection[J].IEEE Trans. on Image Pprocessing.2005, 14(10):1435-1447[9]Hsung T C, Lun D P K, and Siu W C. Denoising by singularity detection[J]. IEEE Trans. on Signal Process, 1999, 41(11): 3139-3144.
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