Abstract
In this paper, we propose a novel algorithm for image restoration based on combining nonstationary edge-preserving priors. We develop a Bayesian modeling followed by an evidence analysis inference approach for deriving the foundations of the proposed iterative restoration algorithm. Simulation results over a variety of blurred and noisy standard test images indicate that the presented method outperforms current state-of-the-art image restoration algorithms. We finally present experimental results by digitally refocusing images captured with controlled defocus, successfully confirming the ability of the proposed restoration algorithm in recovering extra features and details, while still preserving edges.
Original language | English (US) |
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Title of host publication | ICIP 2011 |
Subtitle of host publication | 2011 18th IEEE International Conference on Image Processing |
Pages | 3457-3460 |
Number of pages | 4 |
DOIs | |
State | Published - Dec 1 2011 |
Event | 2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium Duration: Sep 11 2011 → Sep 14 2011 |
Other
Other | 2011 18th IEEE International Conference on Image Processing, ICIP 2011 |
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Country/Territory | Belgium |
City | Brussels |
Period | 9/11/11 → 9/14/11 |
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Signal Processing