Title | ||
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A Variational Model Combining Curvelet Shrinkage and Nonlinear Anisotropic Diffusion for Image Denoising |
Abstract | ||
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In this paper, we propose a new variational model for image denoising, which contains two regularizing term. One regularizing term is BV norm, another is formulated in terms of summation in curvelet domain. Solving this new variational model results in an iterative algorithm, which combines naturally Curvelet shrinkage with nonlinear anisotropic diffusion equations. Numerical examples show that the proposed method hasgood performances for image denoising. |
Year | DOI | Venue |
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2009 | 10.1109/IAS.2009.155 | IAS |
Keywords | Field | DocType |
image denoising,new variational model,curvelet shrinkage,regularizing term,variational model combining curvelet,new variational model result,bv norm,proposed method hasgood performance,nonlinear anisotropic diffusion,curvelet domain,iterative algorithm,numerical example,iterative methods,data mining,noise measurement,noise reduction,anisotropic diffusion,mathematical model | Noise reduction,Anisotropic diffusion,Nonlinear system,Noise measurement,Shrinkage,Computer science,Mathematical analysis,Iterative method,Variational model,Curvelet | Conference |
Citations | PageRank | References |
3 | 0.43 | 6 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Weibin Zhang | 1 | 31 | 10.03 |
Wenjuan Zhang | 2 | 3 | 0.43 |