Weber's Law-based Regularization for Blind Image Deblurring
Blind image deblurring aims to recover an output latent image and a blur kernel from a given blurred image. Kernel estimation is a significant step in blind image deblurring and requires a regularization technique to minimize the cost function and the edges of objects to generate a sharp image in a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
D. G. Pylarinos
2024-02-01
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| Series: | Engineering, Technology & Applied Science Research |
| Subjects: | |
| Online Access: | https://etasr.com/index.php/ETASR/article/view/6576 |