Bayesian image restoration using a wavelet-based subband decomposition

Authors:
R. Molina;A. K. Katsaggelos;J. Abad
Affiliations:
Dept. de Ciencias de la Comput. e Inteligencia Artificial, Granada Univ., Spain;-;-
Venue:
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Year:
1999

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Combined frequency and spatial domain algorithm for the removal of blocking artifacts

EURASIP Journal on Applied Signal Processing

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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.