"Digital image restoration using power spectrum equalization filtering " by Debdatta Sen

Document Type

Thesis

Date of Award

5-31-1989

Degree Name

Master of Science in Biomedical Engineering - (M.S.)

Department

Biomedical Engineering Committee

First Advisor

Arthur B. Ritter

Second Advisor

Walter Nunez Duran

Abstract

Digital deblurring of micro-circulatory images using both homomorphic and power spectrum equalization filtering are considered. An existing homomorphic filter was modified by changing filter parameters. This permitted an image with better contrast to be obtained. The power spectrum equalization approach consists of modeling and characterization of degradation and estimation of the power spectrum of the image using the Welch method. The restoration is considered from the point of view of spatial-frequency domain descriptions of images. Consideration is restricted to degradations arising from additive noise and spatially invariant linear blurring. The filter restores the power spectrum of the image to what it was before degradations. The restoration filter considered as a nonlinear filter is constrained so that the estimated power spectrum of the restored image is the same as the power spectrum of the original image.

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