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» A variational method for Bayesian blind image deconvolution
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ICVGIP
2008
14 years 10 days ago
Adaptive Nonlinear Image Denoising and Restoration Using a Cooperative Bayesian Estimation Approach
A novel nonlinear cooperative approach to image denoising and restoration is presented. Samples from the image field with similar characteristics are first grouped into clusters b...
Akshaya Kumar Mishra, Alexander Wong, David A. Cla...
IJCV
2006
107views more  IJCV 2006»
13 years 11 months ago
Image Deblurring in the Presence of Impulsive Noise
Consider the problem of image deblurring in the presence of impulsive noise. Standard image deconvolution methods rely on the Gaussian noise model and do not perform well with imp...
Leah Bar, Nahum Kiryati, Nir A. Sochen
TIFS
2008
148views more  TIFS 2008»
13 years 10 months ago
Digital Image Forensics via Intrinsic Fingerprints
Digital imaging has experienced tremendous growth in recent decades, and digital camera images have been used in a growing number of applications. With such increasing popularity a...
Ashwin Swaminathan, Min Wu, K. J. Ray Liu
MICCAI
2008
Springer
15 years 2 days ago
MR Brain Tissue Classification Using an Edge-Preserving Spatially Variant Bayesian Mixture Model
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. ...
NIPS
2008
14 years 9 days ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung