Novel effective fuzzy diffusion algorithm for noise removal

Yingtao Zhang; Heng-Da Cheng; Jianhua Huang; Xianglong Tang

doi:10.1117/1.3516724

1 December 2010 Novel effective fuzzy diffusion algorithm for noise removal

Yingtao Zhang, Heng-Da Cheng, Jianhua Huang, Xianglong Tang

Author Affiliations +

Optical Engineering, Vol. 49, Issue 12, 127001 (December 2010). https://doi.org/10.1117/1.3516724

Abstract

Anisotropic diffusion is widely used for noise reduction. The performance of anisotropic diffusion, in general, depends on the shape of the energy surface. The partial differential equation model is established and analyzed in the continuous domain while is implemented in the discrete domain. Therefore, the anisotropic diffusion bears some fuzziness due to the approximation. We present a novel noise removal algorithm based on fuzzy logic and anisotropic diffusion theory. The experimental results demonstrate that the proposed method has the advantage of maximizing noise reduction and preserving fine details of the images. In addition, the method can enhance the contrast of the images well.

©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Yingtao Zhang, Heng-Da Cheng, Jianhua Huang, and Xianglong Tang "Novel effective fuzzy diffusion algorithm for noise removal," Optical Engineering 49(12), 127001 (1 December 2010). https://doi.org/10.1117/1.3516724

Published: 1 December 2010

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