Fusion of human vision system with mid-range IR image processing displays

William B. Forsyth; H. Garton Lewis Jr.

doi:10.1117/12.46467

1 August 1991 Fusion of human vision system with mid-range IR image processing displays

William B. Forsyth, H. Garton Lewis Jr.

Proceedings Volume 1472, Image Understanding and the Man-Machine Interface III; (1991) https://doi.org/10.1117/12.46467
Event: Orlando '91, 1991, Orlando, FL, United States

Abstract

With the advent of low-cost mid-range IR mosaic PtSi focal planes, there is an increasing need for accommodation of the human vision system in image exploitation workstation displays. This paper presents a suite of algorithms which match the neural response of the eye with the image-processing display by translating the raw 12-bit images into an enhanced 8-bit format for display. The tool box of translation algorithms includes histogram equalization, histogram projection, plateau projection, plateau equalization, modular projection, overlapping and non- overlapping zonal projection, sub-sampling projection, pseudocolor, and half gray scale/half pseudocolor. The operator/photointerpreter is presented a menu from which he may select an automatic mode which uses image statistics to enhance the image, or a manual mode optimized by the operator to his preference. The choice of the appropriate algorithm and operating mode compensates for the wide variance in IR gray scale and background clutter due to time of day, season, and atmospheric conditions. The tool box also includes standard image processing algorithms such as roam, zoom, sharpening, filtering, and convolution to manipulate and further enhance the translated images.

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William B. Forsyth and H. Garton Lewis Jr. "Fusion of human vision system with mid-range IR image processing displays", Proc. SPIE 1472, Image Understanding and the Man-Machine Interface III, (1 August 1991); https://doi.org/10.1117/12.46467

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KEYWORDS

Image enhancement

Image processing

Infrared imaging

Algorithm development

Human vision and color perception

Image understanding

Mid-IR

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