Motion Estimation Techniques in Super-Resolution Image Reconstruction. A Performance Evaluation

Details Motion Estimation Techniques in Super-Resolution Image Reconstruction. A Performance Evaluation Motion Estimation Techniques in Super-Resolution Image Reconstruction. A Performance Evaluation

Apr 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006vopc.conf..254b&link_type=abstract

Virtual Observatory: Plate Content Digitization, Archive Mining and Image Sequence Processing, iAstro workshop, Sofia, Bulgaria,

Computer Science

Performance

1

Scientific paper

For a number of problems involving image sequences, it is essential to have a good motion estimate. In particular, when obtaining a high resolution image or video sequence from a set of low resolution images [1], the quality of the estimated motion plays a critical role in the performance of the high resolution algorithm. In this paper, we evaluate two different nonparametric motion estimation techniques, one based on block-matching [2] and the other based on the optical flow equation [3], to obtain sub-pixel displacements between frames. We will also consider the local quality of the displacement map estimates to improve the high resolution estimations [4]. The methods are tested on real images.

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