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ICIP
2005
IEEE
14 years 10 months ago
Approximations of posterior distributions in blind deconvolution using variational methods
In this paper the blind deconvolution problem is formulated using the variational framework. With its use approximations of the involved probability distributions are developed re...
Javier Mateos, Rafael Molina, Aggelos K. Katsaggel...
ICIP
2008
IEEE
14 years 3 months ago
AM-FM image filters
We introduce a multicomponent invertible AM-FM image transform and use it to define new nonlinear AM-FM filters for performing modulation domain image processing. The key elemen...
Chuong T. Nguyen, Joseph P. Havlicek
ICIP
2007
IEEE
14 years 10 months ago
Automated Segmentation of Torn Frames using the Graph Cuts Technique
Film Tear is a form of degradation in archived film and is the physical ripping of the film material. Tear causes displacement of a region of the degraded frame and the loss of im...
David Corrigan, Naomi Harte, Anil C. Kokaram
ICIP
2005
IEEE
14 years 10 months ago
Trainable post-processing method to reduce false alarms in the detection of small blotches of archive films
We have developed a new semi-automatic neural network based method to detect blotches with low false alarm rate on archive films. Blotches can be modeled as temporal intensity disc...
Attila Licsár, László Cz&uacu...
PCM
2010
Springer
175views Multimedia» more  PCM 2010»
13 years 6 months ago
Non-blind Image Deconvolution with Adaptive Regularization
Ringing and noise amplification are the most dominant artifacts in image deconvolution. These artifacts can be reduced by introducing image prior into the deconvolution process. A ...
Jong-Ho Lee, Yo-Sung Ho