1 June 1991 Refinement of EM (expectation maximization) restored images
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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 Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shyh-shiaw Kuo, Shyh-shiaw Kuo, Richard J. Mammone, Richard J. Mammone, } "Refinement of EM (expectation maximization) restored images", Proc. SPIE 1452, Image Processing Algorithms and Techniques II, (1 June 1991); doi: 10.1117/12.45383; https://doi.org/10.1117/12.45383

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