Experiments In Digital Restoration Of Defocused Grainy Photographs By Noise Cheating And Fourier Techniques
Hans J. Zweig, A. Silvestri, P. Hu, E. B. Barrett · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1976
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.