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Optical Engineering

Novel effective fuzzy diffusion algorithm for noise removal
Author(s): Yingtao Zhang; Heng-Da Cheng; Jianhua Huang; Xianglong Tang
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Paper 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.

Paper Details

Date Published: 1 December 2010
PDF: 7 pages
Opt. Eng. 49(12) 127001 doi: 10.1117/1.3516724
Published in: Optical Engineering Volume 49, Issue 12
Show Author Affiliations
Yingtao Zhang, Harbin Institute of Technology (China)
Heng-Da Cheng, Harbin Institute of Technology (China)
Jianhua Huang, Harbin Institute of Technology (China)
Xianglong Tang, Harbin Institute of Technology (China)

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