scholarly journals DIP-VBTV: A Color Image Restoration Model Combining a Deep Image Prior and a Vector Bundle Total Variation

2021 ◽  
Vol 14 (4) ◽  
pp. 1816-1847
Author(s):  
Thomas Batard ◽  
Gloria Haro ◽  
Coloma Ballester
Keyword(s):  
Vector Bundle ◽  
Image Restoration ◽  
Total Variation ◽  
Color Image ◽  
Model Combining ◽  
Image Prior ◽  
Deep Image ◽  
Restoration Model

scholarly journals An adaptive model combining a total variation filter and a fractional-order filter for image restoration

2019 ◽  
Vol 13 ◽  
pp. 174830181983305 ◽  
Author(s):  
Yafeng Yang ◽  
Donghong Zhao
Keyword(s):  
Image Restoration ◽  
Total Variation ◽  
Fractional Order ◽  
Gradient Algorithm ◽  
Remarkable Effect ◽  
Order Filter ◽  
Model Combining ◽  
Proposed Model ◽  
Primal Dual ◽  
Image Edges

In this paper, we propose a model that combines a total variation filter with a fractional-order filter, which can unite the advantages of the two filters, and has a remarkable effect in the protection of image edges and texture details; simultaneously, the proposed model can eliminate the staircase effect. In addition, the model improves the PSNR compared with the total variation filter and the fractional-order filter when removing noise. Zhu and Chan presented the primal-dual hybrid gradient algorithm and proved that it is effective for the total variation filter. On the basis of their work, we employ the primal-dual hybrid gradient algorithm to solve the combined model in this article. The final experimental results show that the new model and algorithm are effective for image restoration.

Color Image Restoration by Saturation-Value Total Variation

2019 ◽  
Vol 12 (2) ◽  
pp. 972-1000 ◽  
Author(s):  
Zhigang Jia ◽  
Michael K. Ng ◽  
Wei Wang
Keyword(s):  
Image Restoration ◽  
Total Variation ◽  
Color Image
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