Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29088
Title: Patch based image denoising using the finite ridgelet transform for less artifacts
Authors: Liu, YX
Law, NF 
Siu, WC 
Keywords: Artifact
Finite ridgelet transform
Image denoising
Shrinkage
Visual quality
Issue Date: 2014
Publisher: Academic Press
Source: Journal of visual communication and image representation, 2014, v. 25, no. 5, p. 1006-1017 How to cite?
Journal: Journal of visual communication and image representation 
Abstract: Patch based denoising methods have proved to lead to state-of-the-art results. However, in contrast with intensive pursuing of higher peak signal to noise ratio (PSNR), less attention is paid to visual quality improvement of denoised images. In this paper, we first compare the denoising performance in edge and smooth regions. Results reveal that edge regions are the main source for potential performance improvement. This motivates us to investigate the use of the finite ridgelet transform as a local transform for better preservation of directional singularities. A two stage denoising algorithm is then proposed to improve the representation of detail structures. Experimental results in denoising images which only contain white noise show that the proposed algorithm consistently outperforms other methods in terms of PSNR and Structural SIMilarity index. Denoised images by the proposed method also demonstrate good visual quality with the least artifacts and fake structures in experiments on natural images.
URI: http://hdl.handle.net/10397/29088
ISSN: 1047-3203
DOI: 10.1016/j.jvcir.2014.02.018
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