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
Department, Program, or Center
Chester F. Carlson Center for Imaging Science (COS)
Dutremble, Serge, "Temporal sampling of forward looking infra-red imagery for sub-resolution enhancment post-processing" (1995). Thesis. Rochester Institute of Technology. Accessed from
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