A Novel Noise Removal Method Based On Fractional Anisotropic Diffusion And Subpixel Approach
AbstractPartial differential equations (PDE) have been successfully and widely applied to image processing and computer vision. Anisotropic diffusion is an approach to remove noise based on nonlinear PDE. Many anisotropic methods have been studied; however, they suffer two major drawbacks: blurring and staircasing effects degrading the performance of noise removal filters. To overcome such problems, in this paper, a novel and efficient method for image denoising based on fractional-order anisotropic diffusion and subpixel approach is proposed. Numerical computation is implemented by using the subpixel fractional partial difference (SFPD) approach to increase the flexibility and accuracy. The experimental results demonstrate that the proposed approach can achieve higher signal-to-noise ratio (SNR) and its performance is much better than that of the existing filters.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by World Scientific Publishing Co. Pte. Ltd. in its journal New Mathematics and Natural Computation.
Volume (Year): 07 (2011)
Issue (Month): 01 ()
Contact details of provider:
Web page: http://www.worldscinet.com/nmnc/nmnc.shtml
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Tai Tone Lim).
If references are entirely missing, you can add them using this form.