Paper
16 December 1988 Results Concerning Image Restoration Applications Of The Mutual Information Principle
Joseph P. Noonan, James R Marcus
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Abstract
Results from the mutual information principle, or MIP, approach to image restoration are presented. The MIP approach to image restoration, based on minimizing the mutual information of an image degradation system model subject to known prior statistical knowledge constraints, is briefly reviewed. An implementation of the MIP image restoration equations is then discussed. The results from a number of examples show the MIP technique to be a robust image restoration approach with apparently none of the convergence difficulties associated with similar techniques.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joseph P. Noonan and James R Marcus "Results Concerning Image Restoration Applications Of The Mutual Information Principle", Proc. SPIE 0974, Applications of Digital Image Processing XI, (16 December 1988); https://doi.org/10.1117/12.948422
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Cited by 1 scholarly publication.
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KEYWORDS
Image restoration

Digital image processing

Signal to noise ratio

Error analysis

Convolution

Systems modeling

Image processing

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