Record Details

Joint blind restoration and surface recovery in photometric stereo

DSpace at IIT Bombay

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Field Value
 
Title Joint blind restoration and surface recovery in photometric stereo
 
Creator JOSHI, MV
CHAUDHURI, S
 
Subject expectation-maximization algorithm
image-restoration
blurred images
identification
shape
classification
reconstruction
approximation
gradient
depth
 
Description We address the problem of simultaneous estimation of scene structure and restoration of images from blurred photometric measurements. In photometric stereo, the structure of an object is determined by using a particular reflectance model (the image irradiance equation) without considering the blurring effect. What we show is that, given arbitrarily blurred observations of a static scene captured with a stationary camera under different illuminant directions, we still can obtain the structure represented by the surface gradients and the albedo and also perform a blind image restoration. The surface gradients and the albedo are modeled as separate Markov random fields, and a suitable regularization scheme is used to estimate the different fields as well as the blur parameter. The results of the experimentations are illustrated with real as well as synthetic images. (c) 2005 Optical Society of America.
 
Publisher OPTICAL SOC AMER
 
Date 2011-08-19T10:45:19Z
2011-12-26T12:56:12Z
2011-12-27T05:44:30Z
2011-08-19T10:45:19Z
2011-12-26T12:56:12Z
2011-12-27T05:44:30Z
2005
 
Type Article
 
Identifier JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 22(6), 1066-1076
1084-7529
http://dx.doi.org/10.1364/JOSAA.22.001066
http://dspace.library.iitb.ac.in/xmlui/handle/10054/10323
http://hdl.handle.net/10054/10323
 
Language en