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» A variational method for Bayesian blind image deconvolution
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ICIP
2006
IEEE
14 years 10 months ago
Image Tampering Identification using Blind Deconvolution
Digital images have been used in growing number of applications from law enforcement and surveillance, to medical diagnosis and consumer photography. With such widespread populari...
Ashwin Swaminathan, Min Wu, K. J. Ray Liu
ISBI
2004
IEEE
14 years 9 months ago
Quasi-Maximum Likelihood Blind Deconvolution of Images Acquired Through Scattering Media
We address the problem of restoration of images obtained through a scattering medium. We present an efficient quasimaximum likelihood blind deconvolution approach based on the fas...
Michael M. Bronstein, Alexander M. Bronstein, Yeho...
DSP
2006
13 years 8 months ago
Blind image deconvolution via dispersion minimization
In linear image restoration, the point spread function of the degrading system is assumed known even though this information is usually not available in real applications. As a re...
C. Vural, William A. Sethares
ICPR
2008
IEEE
14 years 9 months ago
Superresolution and blind deconvolution of video
In many real applications traditional superresolution methods fail to provide high-resolution images due to objectionable blur and inaccurate registration of input low-resolution ...
Filip Sroubek, Jan Flusser, Michal Sorel
ICIP
2008
IEEE
14 years 3 months ago
Blind restoration of blurred photographs via AR modelling and MCMC
We propose a new image and blur prior model, based on nonstationary autoregressive (AR) models, and use these to blindly deconvolve blurred photographic images, using the Gibbs sa...
Tom E. Bishop, Rafael Molina, James R. Hopgood