Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/17102
Title: A novel patch-based image denoising algorithm using finite radon transform for good visual
Authors: Liu, YX
Law, NF 
Siu, WC 
Issue Date: 2011
Source: APSIPA ASC 2011 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, 2011, p. 517-521 How to cite?
Abstract: Patch-based denoising methods have recently emerged due to its good denoising performance. In this paper, based on analysis of the optimal over-complete patch aggregation, we highlight the importance of a local transform for good image features representation. A finite Radon transform (FRAT) based two-stage over-complete image denoising algorithm is then proposed for obtaining good visual quality of denoised images. Experimental results demonstrate good performance in that the denoised images obtained by the proposed method are less influenced by artifacts.
Description: Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011, Xi'an, 18-21 October 2011
URI: http://hdl.handle.net/10397/17102
Appears in Collections:Conference Paper

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