Share Email Print

Optical Engineering • Open Access

Fractional domain varying-order differential denoising method
Author(s): Yan-Shan Zhang; Feng Zhang; Bing-Zhao Li; Ran Tao

Paper Abstract

Removal of noise is an important step in the image restoration process, and it remains a challenging problem in image processing. Denoising is a process used to remove the noise from the corrupted image, while retaining the edges and other detailed features as much as possible. Recently, denoising in the fractional domain is a hot research topic. The fractional-order anisotropic diffusion method can bring a less blocky effect and preserve edges in image denoising, a method that has received much interest in the literature. Based on this method, we propose a new method for image denoising, in which fractional-varying-order differential, rather than constant-order differential, is used. The theoretical analysis and experimental results show that compared with the state-of-the-art fractional-order anisotropic diffusion method, the proposed fractional-varying-order differential denoising model can preserve structure and texture well, while quickly removing noise, and yields good visual effects and better peak signal-to-noise ratio.

Paper Details

Date Published: 15 April 2014
PDF: 8 pages
Opt. Eng. 53(10) 102102 doi: 10.1117/1.OE.53.10.102102
Published in: Optical Engineering Volume 53, Issue 10
Show Author Affiliations
Yan-Shan Zhang, Beijing Institute of Technology (China)
Feng Zhang, Beijing Institute of Technology (China)
Bing-Zhao Li, Beijing Institute of Technology (China)
Ran Tao, Beijing Institute of Technology (China)

© SPIE. Terms of Use
Back to Top