Infrared image enhancement and human detection performance measures. (16th June 2010)

• Record Type: Journal Article
• Authors: Hanton, K.; Sunde, J.; Butavicius, M.; Gluscevic, V.
• Is Part Of: International journal of intelligent defence support systems. Volume 3:Number 1/2(2010)
• Page Start: 5
• Page End: 21
• Publication Date: 2010-06-16
• Subjects: infrared imaging -- human detection -- performance measures -- image enhancement -- super-resolution images -- image quality -- object recognition -- image reconstruction -- image deconvolution -- operator assessment -- edge detection -- dangerous objects; Artificial intelligence -- Military applications -- Periodicals; Cybernetics -- Periodicals; Experimental design -- Periodicals; 623.028563
• Languages: English
• ISSNs: 1755-1587

Abstract

The ability to detect and recognise dangerous objects at a safe distance is a very important task in a number of defence, police and security applications. In this paper, we look at ways of increasing the effectiveness of infrared imagery for object recognition through processes such as super-resolution image reconstruction and deconvolution methods. In this paper, we propose two techniques for assessing image quality improvement: operator assessment and edge detection; and report on some initial work recently undertaken.