Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/27044
Title: Energy-based adaptive transform scheme in the DPRT domain and its application to image denoising
Authors: Liu, YX
Peng, YH
Siu, WC 
Keywords: Discrete periodic Radon transform
Discrete wavelet transform
Finite ridgelet transform
Image denoising
Threshold selection
Issue Date: 2009
Source: Signal processing, 2009, v. 89, no. 1, p. 31-44 How to cite?
Journal: Signal Processing 
Abstract: In this paper, an energy-based adaptive transform scheme in the discrete periodic Radon transform domain is proposed for an efficient representation of linear singularities in images. Experimental results using non-linear approximation show that it possesses the superior property of energy concentration compared with the discrete wavelet transform and finite ridgelet transform. Furthermore, we have applied the scheme to the denoising problem and proposed a novel threshold selection method. Results of our experimental work, carried out on images containing strong linear singularities and texture components with varying levels of additive white Gaussian noise, show that our approach achieves a substantial improvement in terms of both signal-to-noise ratio and in visual quality as compared with that of the discrete wavelet transform and finite ridgelet transform.
URI: http://hdl.handle.net/10397/27044
ISSN: 0165-1684
DOI: 10.1016/j.sigpro.2008.07.012
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