Zoom based super-resolution through SAR model fitting

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Zoom based super-resolution through SAR model fitting

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dc.contributor.author JOSHI, MV en_US
dc.contributor.author CHAUDHURI, SUBHASIS en_US
dc.date.accessioned 2008-12-22T05:45:02Z en_US
dc.date.accessioned 2011-11-28T02:47:47Z en_US
dc.date.accessioned 2011-12-15T09:56:11Z
dc.date.available 2008-12-22T05:45:02Z en_US
dc.date.available 2011-11-28T02:47:47Z en_US
dc.date.available 2011-12-15T09:56:11Z
dc.date.issued 2004 en_US
dc.identifier.citation Proceedings of the International Conference on Image Processing (V 3), Singapore, 24-27 October 2004, 1775-1778 en_US
dc.identifier.isbn 0-7803-8554-3 en_US
dc.identifier.uri 10.1109/ICIP.2004.1421418 en_US
dc.identifier.uri http://hdl.handle.net/10054/445 en_US
dc.identifier.uri http://dspace.library.iitb.ac.in/xmlui/handle/10054/445 en_US
dc.description.abstract We propose a technique for super-resolution imaging of a scene from observations at different camera zooms. Given a sequence of images with different zoom factors of a static scene, we obtain a picture of the entire scene at a resolution corresponding to the most zoomed observation. We model the high resolution image as a simultaneous autoregressive (SAR) model, the parameters of which are learnt from the most zoomed observation. Assuming that the entire scene can be described by a homogeneous SAR model, the learnt parameters are then used in a suitable regularization technique to estimate the high resolution field. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject image analysis en_US
dc.subject image quality en_US
dc.subject regression analysis en_US
dc.subject mathematical models en_US
dc.title Zoom based super-resolution through SAR model fitting en_US
dc.type Article en_US
dc.description.copyright © IEEE en_US


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