30 October 1997 Closed-form maximum entropy image restoration
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The use of maximum entropy image restoration has, heretofore, required recursive, or iterative, search routines. This paper, by contrast, describes a one-pass, closed-form maximum entropy algorithm. The approach derives from minimization of a Log-L2 error norm between object and reconstruction. The resulting output has the form of the exponential of a Wiener-type filtering of the image data. The logarithmic nature of the norm gives rise to a tendency toward constant relative error across the output field.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
B. Roy Frieden, B. Roy Frieden, David J. Graser, David J. Graser, } "Closed-form maximum entropy image restoration", Proc. SPIE 3164, Applications of Digital Image Processing XX, (30 October 1997); doi: 10.1117/12.279550; https://doi.org/10.1117/12.279550

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