Abstract
In this paper we report the effect of random noise interference in various portions of the video band spectrum' and attempt to model the human visual mechanism for resolving image in the presence of noise. Broad, narrow and mixed bands of white noise distribution effects throughout the video band are investigated. Good agreement results between the experimental data and predicted performance from computer simulation models. The analysis indicates that noise equalization, by pre-emphasizing and deemphasizing a certain portion of the video, results in a considerable improvement in resolution and gray scale of the image.
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