Paper
28 January 2009 Nonlinear edge: preserving smoothing by PDEs
Yan Ha, Jiejing Liu
Author Affiliations +
Abstract
This work introduces a new algorithm for image smoothing. Nonlinear partial differential equations (PDEs) are employed to smooth the image while preserving the edges and corners. Compared with other filters such as average filter and median filter, it is found that the effects of image denoising by the new algorithm are better than that by other filters. The experimental results show that this method can not only remove the noise but also preserve the edges and corners. Due to its simplicity and efficiency, the algorithm becomes extremely attractive.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yan Ha and Jiejing Liu "Nonlinear edge: preserving smoothing by PDEs", Proc. SPIE 7156, 2008 International Conference on Optical Instruments and Technology: Optical Systems and Optoelectronic Instruments, 71562V (28 January 2009); https://doi.org/10.1117/12.811351
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KEYWORDS
Digital filtering

Nonlinear filtering

Image filtering

Partial differential equations

Smoothing

Palladium

Electronic filtering

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