Image structural difference clutter metric based on human visual properties

Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering

Volumn 42, Issue 6, 2013, Pages 1635-1641

  Xu, Dejiang ^a,b,c,d   Shi, Zelin ^b,c,d   Luo, Haibo ^b,c,d  

^a UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^b SHENYANG INSTITUTE OF AUTOMATION   (China)

^c INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^d Key Laboratory of Image Understanding and Computer Vision   (China)

Author keywords

Image clutter metric; Structural difference; Target acquisition performance; Vision saliency metric

Indexed keywords

DETECTION PROBABILITIES; HUMAN VISUAL PERCEPTION; HUMAN VISUAL PROPERTIES; IMAGE CLUTTER METRIC; IMAGE QUALITY ASSESSMENT (IQA); SALIENCY METRIC; STRUCTURAL DIFFERENCES; TARGET ACQUISITION;

EXPERIMENTS;

CLUTTER (INFORMATION THEORY);

EID: 84881002060     PISSN: 10072276     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (14)

1. Wilson D L. Image-based contrast-to-clutter modeling of detection [J]. Opt Eng, 2001, 40(9): 1852-1857.
2. Schmieder D E, Weathersby M R. Detection performance in clutter with variable resolution [J]. IEEE Transactions on Aerospace and Electronic Systems, 1983, 19(4): 622-630.
3. Aviram G, Rotman S R. Evaluation of human detection performance of targets embedded in natural and enhanced infrared images using image metrics[J]. Opt Eng, 2000, 39(4): 885-896.
4. Biberman Lucien M. Electro-optical imaging system performance and modeling[C]//SPIE, 2000, 28: 1-21.
5. Rotmam S R, Hsu D, Cohen A, et al. Texture metrics for clutter affecting human target acquisition [J]. Infrared Physics and Technology, 1996, 37(4): 667-674.
6. Chang Honghua, Zhang Jianqi. New metrics for clutter affecting human target acquisition[J]. IEEE Transactions on Aerospace and Electronic Systems, 2006, 42(1): 361-368.
7. Reynolds William R. Toward quantifying infrared clutter[C]// SPIE, 1990, 1311: 232.
8. Zhou Wang, Bovik A C, Sheikh H R, et al. Image quality assessment: from error visibility to structural similarity [J]. IEEE Transactions on Image Processing, 2004, 13(4): 600-612.
9. Koch C, Ullman S. Shifts in selective visual attention: towards the underlying neural circuitry [J]. Human Neurobiology, 1985, 4: 219-227.
10. Koch Itti L C, Niebur E. A model of saliency-based visual- attention for rapid scene analysis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998, 20: 1254-1259.
11. Zhang Lin, Zhang Lei, Mou X, et al. FSIM: A feature similarity index for image quality assessment[J]. IEEE Trans Image Processing, 2011, 20(8): 2378-2386.
12. Walther D, Koch C. Modeling attention to salient proto-objects[J]. Neural Networks, 2006, 19: 1395-1407.
13. Toet A, Bijl P, Valeton J M. Image dataset for testing search and deletion models[J]. Opt Eng, 2001, 40: 1760-1767.
14. Chang Honghua, Zhang Jianqi, Liu Delian. Modeling human false alarms using clutter metrics[C]//SPIE, 2007, 6786: 67863.