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Proceedings Paper

Comparison of image reconstruction algorithms
Author(s): Ralf Reulke
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Paper Abstract

Images are degraded by both blur according to a deterministic spread function and by additive noise. The removal of blur is an ill-posed inverse problem. Therefore prior knowledge about the original scene and point spread function as well as noise information about the image forming system are necessary. In the past a lot of different algorithms have been proposed. In this paper an approach for comparison is presented and demonstrated on different example algorithms.

Paper Details

Date Published: 23 August 1995
PDF: 13 pages
Proc. SPIE 2572, Remote Sensing and Reconstruction for Three-Dimensional Objects and Scenes, (23 August 1995); doi: 10.1117/12.216936
Show Author Affiliations
Ralf Reulke, German Aerospace Research Establishment (Germany)


Published in SPIE Proceedings Vol. 2572:
Remote Sensing and Reconstruction for Three-Dimensional Objects and Scenes
Toni F. Schenk, Editor(s)

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