2020
DOI: 10.3788/lop57.241016
|View full text |Cite
|
Sign up to set email alerts
|

Blind Restoration of Multi-Channel Images Based on Total Variation and Dark Pixels

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(2 citation statements)
references
References 0 publications
0
2
0
Order By: Relevance
“…According to the data in the previous section, the regularization parameters are set, and the simulated images used in this paper are all from the classic database, the following and Ren. [9] , Zhang [10] , Hu [11] The algorithm of et al is analyzed experimentally.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…According to the data in the previous section, the regularization parameters are set, and the simulated images used in this paper are all from the classic database, the following and Ren. [9] , Zhang [10] , Hu [11] The algorithm of et al is analyzed experimentally.…”
Section: Resultsmentioning
confidence: 99%
“…Fixed intermediate variable , , , (11) u For the extreme value, you can get: (13) fixed u , updated by threshold shrinkage method. , , ,…”
Section: Solution Process Of Image Minimization Modelmentioning
confidence: 99%