A new image fusion performance metric based on visual information fidelity

Information Fusion

Volumn 14, Issue 2, 2013, Pages 127-135

  Han, Yu ^a,b   Cai, Yunze ^a   Cao, Yin ^a   Xu, Xiaoming ^a,c  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b JIANGSU AUTOMATION RESEARCH INSTITUTE   (China)

^c UNIVERSITY OF SHANGHAI FOR SCIENCE AND TECHNOLOGY   (China)

Author keywords

Image fusion assessment Fused image quality Visual information fidelity Visual information fidelity for fusion

Indexed keywords

IMAGE QUALITY; QUALITY CONTROL; STATISTICAL TESTS;

AUTOMATIC SYSTEMS; FUSION PERFORMANCE; HUMAN PERCEPTION; MULTIRESOLUTION IMAGES; OVERALL QUALITY; SUBJECTIVE EVALUATIONS; VISUAL INFORMATION; VISUAL INFORMATION FIDELITY;

IMAGE FUSION;

EID: 84880331058     PISSN: 15662535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.inffus.2011.08.002     Document Type: Article

References (21)

1. M.I. Smith, J.P. Heather, Review of image fusion technology in 2005, in: Proceedings of SPIE, 2005, pp. 29-45. (Pubitemid 41433017)
2. G.H. Qu, D.L. Zhang, P.F. Yan, Information measure for performance of image fusion, Electronics Letters (2002) 313-315.
3. M. Hossny, S. Nahavandi, D. Creighton, Comments on 'Information measure for performance of image fusion', Electronics Letters (2008) 1066-1067.
4. C.S. Xydeas, V. Petrovic, Objective image fusion performance measure, Electronics Letters (2000) 308-309. (Pubitemid 30557385)
5. G. Piella, A new quality metric for image fusion, in: Proceedings of International Conference on Image Processing, 2003, pp. 173-176.
6. N. Cvejic, A. Loza, D. Bull, N. Canagarajah, A similarity metric for assessment of image fusion algorithms, in: International Journal of Signal Processing, 2005, pp. 178-182.
7. C. Yang, J.Q. Zhang, X.R. Wang, X. Liu, A novel similarity based quality metric for image fusion, Information Fusion 9 (2008) 156-160. (Pubitemid 351312922)
8. Z. Wang, A.C. Bovik, Image quality assessment: From error visibility to structural similarity, IEEE Transactions on Image Processing (2004) 600-612.
9. H. Chen, P.K. Varshney, A human perception inspired quality metric for image fusion based on regional information, Information Fusion 8 (2007) 193-207. (Pubitemid 46177797)
10. Y. Chen, R.S. Blum, A new automated quality assessment algorithm for image fusion, Image and Vision Computing (2008) 1421-1432.
11. V. Petrovic, Subjective tests for image fusion evaluation and objective metric validation, Information Fusion 8 (2007) 208-216. (Pubitemid 46177793)
12. H.R. Sheikh, A.C. Bovik, G. de Veciana, An information fidelity criterion for image quality assessment using natural scene statistics, IEEE Transactions on Image Processing (2005) 2117-2128. (Pubitemid 41763727)
13. H.R. Sheikh, A.C. Bovik, Image information and visual quality, IEEE Transactions on Image Processing (2006) 430-444. (Pubitemid 43126168)
14. M.J. Wainwright, E.P. Simoncelli, Scale mixtures of Gaussians and the statistics of natural images, in: Advances in Neural Information Processing Systems, MIT Press, 2000, pp. 855-861.
15. M.J. Wainwright, E.P. Simoncelli, A.S. Willsky, Random cascades on wavelet trees and their use in analyzing and modeling natural images, Applied and Computational Harmonic Analysis (2001) 89-123. (Pubitemid 33673558)
16. H.R. Sheikh, M.F. Sabir, A.C. Bovik, Pixel domain version of VIF. .
17. P. Corriveau, A. Webster, Final report from the VQEG on the validation of objective models of video quality assessment, 2000. .
18. A.M. Rohaly et al., Video quality experts group: Current results and future directions, visual communications and image processing, in: Proceedings of SPIE, 2000, pp. 742-753.
19. A. Srivastava, A.B. Lee, E.P. Simoncelli, S.C. Zhu, On advances in statistical modeling of natural images, Journal of Mathematical Imaging and Vision (2003) 17-33.
20. ITU-Recommendation, Methodology for subjective assessment of the quality of television pictures, BT.500-10, 2000.
21. Y. Han, image fusion metric. .