Abstract

Forward Looking Infra Red (FLIR) and RADAR images are examples of low resolution and inherently noisy images. These images are often very sensitive to weather conditions or imaging system characteristics and are usually difficult to evaluate. Interpretation of such images is often restricted to specialists with many years of experience. We propose a quantitative evaluation of two Post-Processing methods of combining temporally close sequential video FLIR images to produce sub-pixel resolution still images. Although we can conceive many different methods to increase the resolution of a video image, this Thesis studies methods based on subpixel interpolation and subpixel separate sampling. The difficulties, requirements and performances of each method are compared and their advantages and disadvantages are rated with respect to their applications. We also investigate theoretically an additional method at Appendix 1 which has been unsuccessful experimentally.

Library of Congress Subject Headings

Infrared imaging; Image processing--Digital techniques; Imaging systems--Image quality--Evaluation

Publication Date

7-11-1995

Document Type

Thesis

Department, Program, or Center

Chester F. Carlson Center for Imaging Science (COS)

Advisor

Schott, John

Advisor/Committee Member

Rhody, Harvey

Advisor/Committee Member

Mason, John

Comments

Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works. Physical copy available through RIT's The Wallace Library at: TA1570 .D887 1995

Campus

RIT – Main Campus

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