Abstract
Research was conducted to computer model and compare the image reconstruction obtainable using Wiener filtering and unsharp masking. Wiener filtering and unsharp masking are techniques used to improve image quality and interpretation. It was demonstrated that far greater image restoration is obtained by Wiener filter than by unsharp masking because unsharp masking, unlike Wiener filtering, enhanced image noise along with the edges. A user friendly computer model, that may be used as a tutorial aid for Image Science students, incorporating Fast Fourier Transform (FFT) techniques was designed. Graphics allow the user to follow each stage of the image processing.
Library of Congress Subject Headings
Image processing--Digital techniques; Image processing--Technique
Publication Date
7-1-1985
Document Type
Thesis
Student Type
Graduate
Degree Name
Imaging Science (MS)
Advisor
Edward Granger
Advisor/Committee Member
Willem Brouwer
Advisor/Committee Member
Joseph Charles
Recommended Citation
Berman, Jay, "Image reconstruction using Wiener filtering and unsharp masking: a computer model" (1985). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/6589
Campus
RIT – Main Campus
Comments
Physical copy available from RIT's Wallace Library at TA1632 .B47 1985