A new noise erosion operator for anisotropic diffusion
Chinese Optics Letters, Vol. 2, Issue 5, pp. 268-270 (2004)
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Abstract
A noise erosion operator based on partial differential equation (PDE) is introduced, which has an excellent ability of noise removal and edge preservation for two-dimensional (2D) gradient data. The operator is applied to estimate a new diffusion coefficient. Experimental results demonstrate that anisotropic diffusion based on this new erosion operator can efficiently reduce noise and sharpen object boundaries.
© 2005 Chinese Optics Letters
OCIS Codes
(100.2000) Image processing : Digital image processing
(120.2440) Instrumentation, measurement, and metrology : Filters
(170.3010) Medical optics and biotechnology : Image reconstruction techniques
(290.1990) Scattering : Diffusion
Citation
Chao Cai, Mingyue Ding, Chengping Zhou, and Tianxu Zhang, "A new noise erosion operator for anisotropic diffusion," Chin. Opt. Lett. 2, 268-270 (2004)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-2-5-268
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