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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/10323

Title: Joint blind restoration and surface recovery in photometric stereo
Authors: JOSHI, MV
CHAUDHURI, S
Keywords: expectation-maximization algorithm
image-restoration
blurred images
identification
shape
classification
reconstruction
approximation
gradient
depth
Issue Date: 2005
Publisher: OPTICAL SOC AMER
Citation: JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 22(6), 1066-1076
Abstract: 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.
URI: 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
ISSN: 1084-7529
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