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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/8130

Title: A variational approach to recovering depth from defocused images
Authors: RAJAGOPALAN, AN
CHAUDHURI, S
Keywords: wigner distribution
signals
focus
Issue Date: 1997
Publisher: IEEE COMPUTER SOC
Citation: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 19(10), 1158-1164
Abstract: 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.
URI: http://dx.doi.org/10.1109/34.625126
http://dspace.library.iitb.ac.in/xmlui/handle/10054/8130
http://hdl.handle.net/10054/8130
ISSN: 0162-8828
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