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» Image Tampering Identification using Blind Deconvolution
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ICIP
2006
IEEE
14 years 6 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
TIP
2008
109views more  TIP 2008»
13 years 4 months ago
A Wavelet-Laplace Variational Technique for Image Deconvolution and Inpainting
Abstract--We construct a new variational method for blind deconvolution of images and inpainting, motivated by recent PDE-based techniques involving the Ginzburg-Landau functional,...
Julia A. Dobrosotskaya, Andrea L. Bertozzi
CVPR
2011
IEEE
12 years 11 months ago
Blind Deconvolution Using A Normalized Sparsity Measure
Blind image deconvolution is an ill-posed problem that requires regularization to solve. However, many common forms of image prior used in this setting have a major drawback in th...
Dilip Krishnan, Rob Fergus
ICIP
2005
IEEE
13 years 10 months ago
A regularization framework for joint blur estimation and super-resolution of video sequences
In traditional digital image restoration, the blurring process of the optic is assumed known. Many previous research efforts have been trying to reconstruct the degraded image or ...
Hu He, Lisimachos P. Kondi
DSP
2006
13 years 4 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