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An image restoration algorithm based on classified hidden Markov tree (CHMT) model in the wavelet domain is proposed, faced with the non-stationary property of real-world images and the difficulty of computation problem in image recovery. In light of Bayesian framework of image restoration method, CHMT model is used as a priori information of image in the wavelet domain, and regularization restriction is made to recover image. The CHMT model has spatial adaptability, which makes the modeling more accurate. A classified simplified method is presented, to makes it easy to find solutions of recovery equation. Experimental results show that, this algorithm has a reasonable computational complexity, can effectively preserve edge and pointed information, and the restoration quality is improved significantly
Published in:
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
(Volume:2
)
Date of Conference: 0-0 0
- Page(s):
- 9570 - 9573
- Print ISBN:
- 1-4244-0332-4
- INSPEC Accession Number:
- 9062925
- Conference Location :
- Dalian
- Digital Object Identifier :
- 10.1109/WCICA.2006.1713857
- Product Type:
- Conference Publications
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