Title :
Bayesian image restoration using a wavelet-based subband decomposition
Author :
Molina, Rafael ; Katsaggelos, Aggelos K. ; Abad, Javier
Author_Institution :
Dept. de Ciencias de la Comput. e Inteligencia Artificial, Granada Univ., Spain
Abstract :
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
Keywords :
Bayes methods; image restoration; noise; parameter estimation; wavelet transforms; Bayesian image restoration; frequency activity; frequency regions extraction; hyperparameters; noise models; prior model; quadratic image model; real images; single channel image restoration; wavelet-based subband decomposition; Bayesian methods; Contracts; Degradation; Frequency; Image restoration; Laplace equations; Parameter estimation; Testing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.757536
