A new blind deblurring model combines framelet transforms, minimax concave penalty, and reweighted l1 regularization, solved by a numerical algorithm and tested on standard images.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Framelet-Based Blind Image Restoration with Minimax Concave Regularization
A new blind deblurring model combines framelet transforms, minimax concave penalty, and reweighted l1 regularization, solved by a numerical algorithm and tested on standard images.