Super resolution from image sequences

Michal Irani*, Shmuel Peleg

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

201 Scopus citations

Abstract

An iterative algorithm to increase image resolution is described. Examples are shown for low-resolution gray-level pictures, with an increase of resolution clearly observed after only a few iterations. The same method can also be used for deblurring a single blurred image. The approach is based on the resemblance of the presented problem to the reconstruction of a 2-D object from its 1-D projections in computer-aided tomography. The algorithm performed well for both computer-simulated and real images and is shown, theoretically and practically, to converge quickly. The algorithm can be executed in parallel for faster hardware implementation.

Original languageEnglish
Pages (from-to)115-120
Number of pages6
JournalProceedings - International Conference on Pattern Recognition
Volume2
StatePublished - 1990
EventProceedings of the 10th International Conference on Pattern Recognition - Atlantic City, NJ, USA
Duration: 16 Jun 199021 Jun 1990

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