Image Restoration Filters Based on a 1-0 Weighting Over the Domain of Support of the PSF
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Development of restoration filters based on the use of a narrowness measure for the composite point spread function of a blurring-restoration operation that is the ratio of the energy of the composite PSF in a fixed interval around the origin to its total energy, is discussed. For a continuous-continuous model, this leads to com- posite PSF's that belong to the family of prolate spheroidal wave func- tions. For a continuous-discrete model, the solutions do not have simple analytical forms but resemble those of the continuous model. Filters of this type have been found to be superior to those with a radius-of-gyration narrowness measure for the control of sidelobes in the case of a Gaussian blurring function and for restoration of images degraded by linear motion blurring. Details of filter construction and examples of image restoration performance are presented.
[1] C D McGillem,et al. Constrained optimization of image restoration filters. , 1973, Applied optics.
[2] John A. Stuller. An algebraic approach to image restoration filter design , 1972, Comput. Graph. Image Process..
[3] H. A. Smith. Improvement of the Resolution of a Linear Scanning Device , 1966 .
[4] C. D. Mcgillem,et al. Ghost suppression in image restoration filtering , 1975 .