Tensor compressed video sensing reconstruction by combination of fractional-order total variation and sparsifying transform

2017 ◽  
Vol 55 ◽  
pp. 146-156 ◽  
Author(s):  
Gao Chen ◽  
Gang Li ◽  
Jiashu Zhang
2017 ◽  
Vol 26 (05) ◽  
pp. 1 ◽  
Author(s):  
Linna Wu ◽  
Yingpin Chen ◽  
Jiaquan Jin ◽  
Hongwei Du ◽  
Bensheng Qiu

2019 ◽  
Vol 13 ◽  
pp. 174830181983305 ◽  
Author(s):  
Yafeng Yang ◽  
Donghong Zhao

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.


2020 ◽  
Vol 14 (5) ◽  
pp. 991-999
Author(s):  
Qiaolu Wang ◽  
Zhisheng Gao ◽  
Chunzhi Xie ◽  
Gongping Chen ◽  
Qingqing Luo

2016 ◽  
Vol 29 (1) ◽  
pp. 299-320
Author(s):  
Lingling Jiang ◽  
Haiqing Yin

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