15 November 2007 Improved method of nonlinear anistropic diffusion filtering based on open system
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Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678641 (2007) https://doi.org/10.1117/12.750718
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
We propose an improved P-M nonlinear filter based anisotropic diffusion. In the new method, an open diffusion system is adopted to improve edge preservation in image denoising process. In the diffusion system, we choose part of pixels as "origin" pixels and "convergence" pixels. Value of these pixels does not change during filtering process. As a result, system energy exchange exists both within the system and between system and outer space. After filtering process, part of the noise energy is filtered out of the system. We test the performance of the new method and compare the result with Gaussian, P-M and Catte filter. Experimental results demonstrate the effectiveness in edge preservation of the new method.
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Weixin Wu, Weixin Wu, Hongchen Liu, Hongchen Liu, "Improved method of nonlinear anistropic diffusion filtering based on open system", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678641 (15 November 2007); doi: 10.1117/12.750718; https://doi.org/10.1117/12.750718
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