Record Details

Image restoration using geometrically stabilized reverse heat equation

DSpace at IIT Bombay

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Field Value
 
Title Image restoration using geometrically stabilized reverse heat equation
 
Creator NAMBOODIRI, VP
CHAUDHURI, S
 
Subject enhancement
algorithms
diffusion
filters
image restoration
image analysis
partial differential equations
diffusion equations
 
Description Blind restoration of blurred images is a classical ill-posed problem. There has been considerable interest in the use of partial differential equations to solve this problem. The blurring of an image has traditionally been modeled by Witkin [10] and Koenderink [4] by the heat equation. This has been the basis of the Gaussian scale space. However, a similar theoretical formulation has not been possible for deblurring of images due to the ill-posed nature of the reverse heat equation. Here we consider the stabilization of the reverse heat equation. We do this by damping the distortion along the edges by adding a normal component of the heat equation in the forward direction. We use a stopping criterion based on the divergence of the curvature in the resulting reverse heat flow. The resulting stabilized reverse heat flow makes it possible to solve the challenging problem of blind space varying deconvolution. The method is justified by a varied set of experimental results.
 
Publisher IEEE
 
Date 2011-10-27T22:33:17Z
2011-12-15T09:12:50Z
2011-10-27T22:33:17Z
2011-12-15T09:12:50Z
2007
 
Type Proceedings Paper
 
Identifier 2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7,2109-2112
978-1-4244-1436-9
1522-4880
http://dspace.library.iitb.ac.in/xmlui/handle/10054/16436
http://hdl.handle.net/100/2923
 
Source IEEE International Conference on Image Processing (ICIP 2007),San Antonio, TX,SEP 16-19, 2007
 
Language English