Super-resolution image reconstruction

Xuefen Wan; Yi Yang

doi:10.1109/iccasm.2010.5620425

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JOURNAL ARTICLE

Super-resolution image reconstruction

Xuefen Wan Yi Yang

Year: 2010 Vol: 6 Pages: V8-351

DOI: 10.1109/iccasm.2010.5620425

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Abstract

Super-resolution image reconstruction is a technique to reconstruct high resolution image or video from a sequence of low resolution images. The super resolution method is summarized in this paper. The frequency domain method, non-uniform interpolation, POCS method, iterative back projection method, Bayesian approach, regularization method are both discussed for super-resolution image reconstruction.

Keywords:

Iterative reconstruction Regularization (linguistics) Interpolation (computer graphics) Computer science Computer vision Artificial intelligence Image resolution Resolution (logic) Sub-pixel resolution Projection (relational algebra) Image (mathematics) Iterative method Sequence (biology) Superresolution Algorithm Image processing Digital image processing

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Topics

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Super-resolution image reconstruction

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