A LogTVSCAD Nonconvex Regularization Model for Image Deblurring in the Presence of Impulse Noise
This paper proposes a nonconvex model (called LogTVSCAD) for deblurring images with impulsive noises, using the log-function penalty as the regularizer and adopting the smoothly clipped absolute deviation (SCAD) function as the data-fitting term. The proposed nonconvex model can effectively overcome...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Hindawi Limited
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/3bcd11db09474d5dac2c13c35b484e6e |
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