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Journal of Electronic Imaging

Image noise removal approach based on subpixel anisotropic diffusion
Author(s): Yanhui Guo; Heng-Da Cheng
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Paper Abstract

Image noise removal is the first step in image processing, pattern recognition, and computer vision. A novel algorithm is proposed to remove noise on images based on anisotropic diffusion and subpixel approaches. Firstly, the subpixel difference of an image is defined and the Euler-Lagrange equation is solved. Then, the diffusion equation is solved numerically using an iterative approach. Finally, the noise is removed after the diffusion procedure is finished. The experiments show that the proposed algorithm yields better signal-to-noise ratio and has no blocky effect and less generated speckle noise in the results than the other methods do. In addition, it is easy to implement, takes less iterations, and has low computational complexity.

Paper Details

Date Published: 17 September 2012
PDF: 11 pages
J. Electron. Imag. 21(3) 033026 doi: 10.1117/1.JEI.21.3.033026
Published in: Journal of Electronic Imaging Volume 21, Issue 3
Show Author Affiliations
Yanhui Guo, Univ. of Michigan Health System (United States)
Heng-Da Cheng, Utah State Univ. (United States)

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