Title of article
BLIND DECONVOLUTION USING SHEARLET -TV REGULARIZATION
Author/Authors
MOUSAVI, Z Department of Mathematical Sciences - Isfahan University of Technology - Isfahan, Iran , MOKHTARI, R Department of Mathematical Sciences - Isfahan University of Technology - Isfahan, Iran , LAKESTANI, M Faculty of Mathematical sciences - University of Tabriz - Tabriz, Iran
Pages
10
From page
525
To page
534
Abstract
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.
Keywords
shearlet , total variation , blind deconvolution , Fast ADMM , Image processing
Journal title
Turkish World Mathematical Society Journal of Applied and Engineering Mathematics
Serial Year
2019
Record number
2585677
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