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» Image Tampering Identification using Blind Deconvolution
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ICIP
2008
IEEE
15 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
ICIP
2003
IEEE
15 years 11 months ago
A variational method for Bayesian blind image deconvolution
In this paper the blind image deconvolution (BID) problem is solved using the Bayesian framework. In order to find the parameters of the proposed Bayesian model we present a new g...
Aristidis Likas, Nikolas P. Galatsanos
IBPRIA
2007
Springer
15 years 3 months ago
Blind Estimation of Motion Blur Parameters for Image Deconvolution
Abstract. This paper describes an approach to estimate the parameters of a motion blur (direction and length) directly form the observed image. The motion blur estimate can then be...
João P. Oliveira, Mário A. T. Figuei...
ICIP
2009
IEEE
15 years 10 months ago
Bayesian Blind Deconvolution From Differently Exposed Image Pairs
Photographs acquired under low-light conditions require long exposure times and therefore exhibit significant blurring due to the shaking of the camera. Using shorter exposure tim...
ICASSP
2009
IEEE
15 years 1 months ago
Tampering identification using Empirical Frequency Response
With the widespread popularity of digital images and the presence of easy-to-use image editing software, content integrity can no longer be taken for granted, and there is a stron...
Wei-Hong Chuang, Ashwin Swaminathan, Min Wu