Abstract

A digital image processing system using a minicomputer that has the capability to make on-line digital image processing has been developed. By use of this system image restoration of motion blurred images due to uniform linear and rotating motion has been carried out in the space domain with the aid of the idea of man–machine feedback. To restrain extreme noise amplification during the restoration process, the technique of smoothing and differentiation of the data based on a method of least squares has been applied. A new technique to manipulate the low contrast image is also demonstrated by which the processed image is observable with better appearance than that of the unprocessed one. In this manipulation, the human visual system has played an important part in complementing discarded image information.

© 1977 Optical Society of America

Iterative image restoration for linearly degraded images. I. Basis

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Digital restoration models for color imaging

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