Abstract
In the paper, the idea of space-adaptive regularisation is introduced into the nonnegativity and support constraints recursive inverse filtering (NAS-RIF) algorithm for blind image restoration. A newly developed cost function is obtained by adding a space-adaptive regularisation term to the cost function of the NAS-RIF algorithm to prevent noise amplification and to reduce ringing artifacts. Compared to the original NAS-RIF algorithm, the improved NAS-RIF algorithm is particularly effective under low SNR conditions. Also, the experimental results show that the co-vergence characteristic of the improved NAS-RIF algorithm is much more stable and the converged solution is capable of providing an excellent estimate of the original image.
Original language | English |
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Pages (from-to) | 23-28 |
Number of pages | 6 |
Journal | IEE Proceedings: Vision, Image and Signal Processing |
Volume | 147 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2000 |
Externally published | Yes |
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering