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» Adaptive image restoration using a local neural approach
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TIP
2008
193views more  TIP 2008»
14 years 9 months ago
Image Restoration Using Space-Variant Gaussian Scale Mixtures in Overcomplete Pyramids
In recent years Bayes Least Squares - Gaussian scale mixtures (BLS-GSM) has emerged as one of the most powerful methods for image restoration. Its strength relies on providing a si...
Jose A. Guerrero-Colon, Luis Mancera, Javier Porti...
ISBI
2004
IEEE
15 years 10 months ago
A Bayesian Approach to Image Restoration
A method for reducing additive noise in images by explicit analysis of local image statistics is introduced and compared to other noise reduction methods. The proposed method, whi...
Andreas Wrangsjö, Hans Knutsson, Magnus Borga
ICCV
2009
IEEE
1318views Computer Vision» more  ICCV 2009»
16 years 2 months ago
Non-Local Sparse Models for Image Restoration
We propose in this paper to unify two different ap- proaches to image restoration: On the one hand, learning a basis set (dictionary) adapted to sparse signal descriptions has p...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
ICIP
2010
IEEE
14 years 7 months ago
Adaptive blotches detection for film restoration
Blotches are very common, localized, and non persistent impairments in digitized film archive. Many methods have been proposed so far for detecting them and restoring the underlyi...
Antoni Buades, Julie Delon, Yann Gousseau, Simon M...
ICIP
1998
IEEE
15 years 11 months ago
Adaptive Restoration of Speckled SAR Images using a Compound Random Markov Field
This paper proposes a restoration scheme for noisy images generated by coherent imaging systems (e.g., synthetic aperture radar, synthetic aperture sonar, ultrasound imaging, and ...
José M. B. Dias, José M. N. Leit&ati...