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.
Recommended Citation
Sen, Debdatta, "Digital image restoration using power spectrum equalization filtering technique" (1989). Theses. 2875.
https://digitalcommons.njit.edu/theses/2875