Record Details


Field	Value

Title	Alias-free interpolation

Creator	JIJI, C NEETHU, P CHAUDHURI, S

Subject	superresolution image reconstruction algorithms resolution

Description	In this paper we study the possibility of removing aliasing in a scene from a single observation by designing an alias-free upsampling scheme. We generate the unknown high frequency components of the given partially aliased (low resolution) image by minimizing the total variation of the interpolant subject to the constraint that part of unaliased spectral components in the low resolution observation are known precisely and under the assumption of sparsity in the data. This provides a mathematical basis for exact reproduction of high frequency components with probability approaching one, from their aliased observation. The primary application of the given approach would be in super-resolution imaging.

Publisher	SPRINGER-VERLAG BERLIN

Date	2011-10-23T19:46:18Z 2011-12-15T09:10:47Z 2011-10-23T19:46:18Z 2011-12-15T09:10:47Z 2006

Type	Article; Proceedings Paper

Identifier	COMPUTER VISION - ECCV 2006, PT 4, PROCEEDINGS,3954,255-266 3-540-33838-1 0302-9743 http://dspace.library.iitb.ac.in/xmlui/handle/10054/15220 http://hdl.handle.net/100/1661

Source	9th European Conference on Computer Vision (ECCV 2006),Graz, AUSTRIA,MAY 07-13, 2006

Language	English

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