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- W2026292448 abstract "A new iterative algorithm for restoring noisy blurred images with unknown point spread function (PSF) is presented. The method initially estimates the PSF and the original image with the Expectation Maximization (EM) algorithm. The resulting image estimate is then refined by using the adaptive Row Action Projection (RAP) algorithm which is based on the theory of Projection Onto Convex Sets (POCS). The new implementation of the RAP can be performed efficiently in parallel and facilitates locally adaptive constraints and cycling strategies. Computer simulations illustrate the new method to be very competitive in restoring degrading images from noisy blurred images with unknown PSF.© (1991) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only." @default.
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- W2026292448 date "1991-06-01" @default.
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- W2026292448 title "<title>Refinement of EM (expectation maximization) restored images</title>" @default.
- W2026292448 doi "https://doi.org/10.1117/12.45383" @default.
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