Bayesian image restoration using a wavelet-based subband decomposition

被引：0
|
作者：
Molina, R [1 ]
Katsaggelos, AK [1 ]
Abad, J [1 ]
机构：
[1] Univ Granada, Dept Ciencias Computac & Inteligencia Artificial, Granada 18071, Spain
来源：
ICASSP '99: 1999 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS VOLS I-VI | 1999年
关键词：
D O I：
10.1109/ICASSP.1999.757536
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In this paper the subband decomposition of a single channel image restoration problem is examined. The decomposition is carried out in the image model (prior model) in order to take into account the frequency activity of each band of the original image. The hyperparameters associated with each band together with the original image are rigorously estimated within the Bayesian framework. Finally, the proposed method is tested and compared with other methods on real images.
引用
收藏
页码：3257 / 3260
页数：4
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