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27 June 1988 Image Enhancement By Estimated A Priori Information
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Abstract
Two different a priori source probabilistic information functions are formulated with estimated probable strengths and variances of source elements. Correspondingly, two solutions for maximizing a posteriori probability with the different a priori source information are presented via Bayes' Law. Iterative imaging algorithms for the solutions are derived by employing the expectation-maximization technique of Demspter et al. These imaging algorithms are applied to computer generated and experimental phantom imaging data and improved images are obtained, compared to that of standard maximum likelihood algorithm.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Z. Liang "Image Enhancement By Estimated A Priori Information", Proc. SPIE 0914, Medical Imaging II, (27 June 1988); https://doi.org/10.1117/12.968700
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