Super-Resolution by POCS-SIFT Approach

Xiao Qin Li; Kang Ling Fang

doi:10.4028/www.scientific.net/AMM.519-520.562

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 519-520Super-Resolution by POCS-SIFT Approach

Super-Resolution by POCS-SIFT Approach

Abstract:

Projection Onto Convex Sets theory (POCS) and Scale Invariant Feature Transform (SIFT) algorithm were introduced for super-resolution restoration of moving blurred image. In order to achieve a better restored image, a POCS-SIFT based super-resolution image restoration algorithm was proposed, which incorporates POCS theory and SIFT algorithm. From experimental results, the improved restored images are obtained by POCS-SIFT hybrid algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 519-520)

Pages:

562-567

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.519-520.562

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Online since:

February 2014

Authors:

Xiao Qin Li, Kang Ling Fang

Keywords:

Image Enlargement, Motion Compensation, POCS, SIFT, Super-Resolution

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