Document Type
Thesis
Date of Award
5-31-1993
Degree Name
Master of Science in Biomedical Engineering - (M.S.)
Department
Biomedical Engineering Committee
First Advisor
Arthur B. Ritter
Second Advisor
Yun Q. Shi
Third Advisor
David S. Kristol
Abstract
The objective of this research was to identify the blur characteristics of the blurred images of the rat coronary microvessel, and the information of the blur characteristics was used to restore the blurred images. The blur characteristics were analyzed by using the image power cepstrum. The Wiener filter was implemented to restore the images. There were two types of point spread functions proposed and studied for the restoration. They were: defocus blur PSF and motion blur PSF. The images were transferred from HP A900 system to an AVS workstation. The images were processed and manipulated by the AVS, and showed significant improvement in quality. Blur characteristics which were similar to the motion blur were found in all the images. The motion blur PSF did not show much effectiveness in the restoration process. No defocus blur or motion blur characteristics appeared on the cepstrum of the microvessel images, suggesting that the strobe technique was capable of acquiring stationary coronary microvessel images.
Recommended Citation
Wong, Kuen Tak, "Blur identification and restoration of images of coronary microvessel" (1993). Theses. 2201.
https://digitalcommons.njit.edu/theses/2201