Experiments In Digital Restoration Of Defocused Grainy Photographs By Noise Cheating And Fourier Techniques

H. Zweig; A. Silvestri; P. Hu; E. Barrett

doi:10.1117/12.954692

9 July 1976 Experiments In Digital Restoration Of Defocused Grainy Photographs By Noise Cheating And Fourier Techniques

H. Zweig, A. Silvestri, P. Hu, E. Barrett

Proceedings Volume 0074, Image Processing; (1976) https://doi.org/10.1117/12.954692
Event: Image Processing, 1976, Pacific Grove, United States

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.

Citation Download Citation

H. Zweig, A. Silvestri, P. Hu, and E. Barrett "Experiments In Digital Restoration Of Defocused Grainy Photographs By Noise Cheating And Fourier Techniques", Proc. SPIE 0074, Image Processing, (9 July 1976); https://doi.org/10.1117/12.954692

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available