Blind deconvolution using shearlet -tv regularization
Blind deconvolution using shearlet -tv regularization
In this article we propose two minimization models for blind deconvolution. In the first model, we use shearlet transform as a regularization term for recovering image. Also total variation method is used as a regularization term for point spread function(PSF). To speed up the process, Fast ADMM approach is exploited. In the second model, shearlet transform is utilized as a regularization term for both image and PSF. Publisher's Version
- ISIK UNIVERSITY Turkey
Total variation, Fast ADMM, Shearlet, Image processing, Variational approach, Blind deconvolution, Blur identification, Parameter, shearlet;total variation;blind deconvolution;Fast ADMM;Image processing., Image-restoration
Total variation, Fast ADMM, Shearlet, Image processing, Variational approach, Blind deconvolution, Blur identification, Parameter, shearlet;total variation;blind deconvolution;Fast ADMM;Image processing., Image-restoration
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