Paper
18 January 1988 Entropy-Based Image Restoration: Modifications And Additional Results
Robert A. Gonsalves, Rose M. Korte, John P. Kennealy
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Abstract
A new approach to the application of maximum entropy principles in image restoration is being developed. It is an iterative process which combines a Wiener filter restoration and modifications to the Wiener image that are Entropy-based. The result is an image with well-restored frequency content and very little of the spuriousness commonly introduced by inverse filters. The algorithm is fast, stable to convergence, and will accommodate any specifiable distorting function.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert A. Gonsalves, Rose M. Korte, and John P. Kennealy "Entropy-Based Image Restoration: Modifications And Additional Results", Proc. SPIE 0829, Applications of Digital Image Processing X, (18 January 1988); https://doi.org/10.1117/12.942104
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Image restoration

Image processing

Point spread functions

Digital image processing

Filtering (signal processing)

Image analysis

Electronic filtering

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