Criterion to Evaluate the Quality of Infrared Target Images Based on Scene Features

  • Xin Zheng School of Opto-Electronic Information, University of Electronic Science and Technology of China
  • Zhenming Peng School of Opto-Electronic Information, University of Electronic Science and Technology of China
  • Jiehua Dai Sony Mobile in Sweden
Keywords: Image analysis, image quality, object detection, object recognition

Abstract

In the field of infrared image signal processing, a novel criterion of evaluating infrared target image quality has been proposed in this paper based on analysis of the disturbance during target detection. To quantitatively characterize this criterion, two infrared target image quality metrics, namely IDGB (interference degree of global background) and SDLB (similarity degree of local background) are developed in this paper. Here, IDGB reflects the ability of the global background to disturb target search detection, and SDLB represents the degree of the local background to disturb target static detection. Experimental results show that the proposed metrics are more convictive than traditional metrics, such as SV, TSSIM, TTSIM.

DOI: http://dx.doi.org/10.5755/j01.eee.20.10.7051

Published
2014-05-06
How to Cite
Zheng, X., Peng, Z., & Dai, J. (2014). Criterion to Evaluate the Quality of Infrared Target Images Based on Scene Features. Elektronika Ir Elektrotechnika, 20(10), 44-50. https://doi.org/10.5755/j01.eee.20.10.7051
Section
SIGNAL TECHNOLOGY