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Proceedings Paper

Experiments In Digital Restoration Of Defocused Grainy Photographs By Noise Cheating And Fourier Techniques
Author(s): H. Zweig; A. Silvestri; P. Hu; E. Barrett
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Paper Abstract

An image enhancement technique called "Noise Cheating" allows the detection of low contrast objects in a noisy background. This technique has been applied to imagery degraded by blur and by noise. The technique is reviewed in this paper, and the results of its application are compared to the results using Wiener filtering. Comparisons are made on both computer simulated and laboratory-generated imagery. The results indicate that subjectively preferable restorations are achieved by Wiener filtering when blur, rather than image noise, is the dominant degrading factor, while noise cheating produces preferable results when noise is predominant.

Paper Details

Date Published: 9 July 1976
PDF: 7 pages
Proc. SPIE 0074, Image Processing, (9 July 1976); doi: 10.1117/12.954692
Show Author Affiliations
H. Zweig, Hughes Aircraft Company (United States)
A. Silvestri, ESL Incorporated (United States)
P. Hu, ESL Incorporated (United States)
E. Barrett, ESL Incorporated (United States)


Published in SPIE Proceedings Vol. 0074:
Image Processing
John C. Urbach, Editor(s)

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