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Proceedings Paper

Quantitative analysis of infrared contrast enhancement algorithms
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Paper Abstract

Dynamic range reduction and contrast enhancement are two image-processing methods that are required when developing thermal camera systems. The two methods must be performed in such a way that the high dynamic range imagery output from current sensors are compressed in a pleasing way for display on lower dynamic range monitors. This research examines a quantitative analysis of infrared contrast enhancement algorithms found in literature and developed by the author. Four algorithms were studied, three of which were found in literature and one developed by the author: tail-less plateau equalization (TPE), adaptive plateau equalization (APE), the method according to Aare Mällo (MEAM), and infrared multi-scale retinex (IMSR). TPE and APE are histogram-based methods, requiring the calculation of the probability density of digital counts within an image. MEAM and IMSR are frequency-domain methods, methods that operate on input imagery that has been split into components containing differing spatial frequency content. After a rate of growth analysis and psychophysical trial were performed, MEAM was found to be the best algorithm.

Paper Details

Date Published: 30 April 2007
PDF: 12 pages
Proc. SPIE 6543, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVIII, 65430S (30 April 2007); doi: 10.1117/12.720092
Show Author Affiliations
Seth Weith-Glushko, Rochester Institute of Technology (United States)
Carl Salvaggio, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 6543:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVIII
Gerald C. Holst, Editor(s)

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