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Titolo:
Evaluating and predicting human detection performance of targets embedded in distorted and restored infrared images
Autore:
Aviram, G; Rotman, SR; Succary, R;
Indirizzi:
Ben Gurion Univ Negev, Dept Elect & Comp Engn, IL-84105 Beer Sheva, IsraelBen Gurion Univ Negev Beer Sheva Israel IL-84105 4105 Beer Sheva, Israel
Titolo Testata:
INFRARED PHYSICS & TECHNOLOGY
fascicolo: 1, volume: 43, anno: 2002,
pagine: 1 - 15
SICI:
1350-4495(200202)43:1<1:EAPHDP>2.0.ZU;2-M
Fonte:
ISI
Lingua:
ENG
Soggetto:
MODULATION TRANSFER-FUNCTION; ACQUISITION; RESTORATION; ATMOSPHERE; ENHANCEMENT;
Keywords:
atmospheric blur; noise distortion; restoration; Wiener filter; modulation transfer function; signal to noise ratio; target detection; psychophysical experiments;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Engineering, Computing & Technology
--discip_EC--
Citazioni:
14
Recensione:
Indirizzi per estratti:
Indirizzo: Rotman, SR Ben Gurion Univ Negev, Dept Elect & Comp Engn, POB 653, IL-84105 Beer Sheva, Israel Ben Gurion Univ Negev POB 653 Beer Sheva Israel IL-84105 srael
Citazione:
G. Aviram et al., "Evaluating and predicting human detection performance of targets embedded in distorted and restored infrared images", INFR PHYS T, 43(1), 2002, pp. 1-15

Abstract

The effects of atmospheric blur, gaussian noise distortion and Wiener filter restoration on human target detection performance is addressed in this paper. A specially designed psychophysical experiment shows significant degradation in detection performance caused by the contrast and noise limiting effects of the atmospheric blur and noise distortion. The experiment also shows that although Wiener filter restoration improves the distorted image sharpness and contrast, it amplifies the noise and does not compensate for the performance degradation caused by distortion. The paper presents a spectral analysis approach to the original, distorted and restored images, as well as an analysis of the target signal to noise ratio. Each analysis defines an alternative method for evaluating a spatial cutoff frequency that determines the restoration efficiency, which practically limits the detection performance. This frequency is then used to predict the probability of detection according to a target acquisition model and the Johnson chart. Moreover, the methods are used to determine whether noise or contrast will limit target perception. The methods were applied to the experimental infrared image database and showed good agreement with the related experimental probabilities of detection. (C) 2002 Elsevier Science B.V. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 06/04/20 alle ore 22:40:37