23 August 1995 Comparison of image reconstruction algorithms
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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.
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Ralf Reulke, Ralf Reulke, } "Comparison of image reconstruction algorithms", Proc. SPIE 2572, Remote Sensing and Reconstruction for Three-Dimensional Objects and Scenes, (23 August 1995); doi: 10.1117/12.216936; https://doi.org/10.1117/12.216936
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