image denoising via l0 gradient minimization with effective fidelity term

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ID: 136323
2015
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Abstract
The L0 gradient minimization (LGM) method has been proposed for image smoothing very recently. As an improvement of the total variation (TV) model which employs the L1 norm of the gradient, the LGM model yields much better results for the piecewise constant image. However, just as the TV model, the LGM model also suffers, even more seriously, from the staircasing effect and the inefficiency in preserving the texture in image. In order to overcome these drawbacks, in this paper, we propose to introduce an effective fidelity term into the LGM model. The fidelity term is an exemplar of the moving least square method using steering kernel. Under this framework, these two methods benefit from each other and can produce better results. Experimental results show that the proposed scheme is promising as compared with the state-of-the-art methods.
Reference Key
zhang2015mathematicalimage Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Wenxue Zhang;Yongzhen Cao;Rongxin Zhang;Lingling Li;Yunlei Wen
Journal journal of power sources
Year 2015
DOI
10.1155/2015/712801
URL
http://dx.doi.org/10.1155/2015/712801
Keywords
civil engineering (general)mathematics engineering (general)

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