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A variational approach to recovering depth from defocused images

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Title A variational approach to recovering depth from defocused images
 
Creator RAJAGOPALAN, AN
CHAUDHURI, S
 
Subject wigner distribution
signals
focus
depth from defocus
space-variant blur
complex spectrogram
wigner distribution
space-variant filtering
regularization
euler equation
 
Description In this paper, we propose a regularized solution to the depth from defocus (DFD) problem using the space-frequency representation (SFR) framework. A smoothness constraint is imposed on the estimates of the blur parameter, and a variational approach to the DFD problem is developed. Among the numerous SFRs, we study the applicability of the complex spectrogram and the Wigner distribution, in particular, for depth recovery. The performance of the proposed variational method is tested on both synthetic and real images. The method yields good results, and the quality of the estimates is significantly better than that obtained without the smoothness constraint on the blur parameter.
 
Publisher IEEE COMPUTER SOC
 
Date 2011-07-31T13:05:15Z
2011-12-26T12:53:01Z
2011-12-27T05:40:06Z
2011-07-31T13:05:15Z
2011-12-26T12:53:01Z
2011-12-27T05:40:06Z
1997
 
Type Article
 
Identifier IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 19(10), 1158-1164
0162-8828
http://dx.doi.org/10.1109/34.625126
http://dspace.library.iitb.ac.in/xmlui/handle/10054/8130
http://hdl.handle.net/10054/8130
 
Language en