A non-reference image fusion metric based on mutual information of image features

Computers & Electrical Engineering - Tập 37 Số 5 - Trang 744-756 - 2011
Mohammad Haghighat1, Ali Aghagolzadeh2, Hadi Seyedarabi1
1Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
2Faculty of Electrical and Computer Engineering University of Tabriz Tabriz, Iran & Faculty of Electrical and Computer Engineering Babol University of Technology Babol, Iran

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Ardeshir Goshtasby, 2007, Image fusion: advances in the state of the art, Inf Fusion, 8, 113, 10.1016/j.inffus.2006.04.001

Haghighat, 2011, Multi-focus image fusion for visual sensor networks in DCT domain, Comput Electr Eng, 37, 789, 10.1016/j.compeleceng.2011.04.016

Chu, 2008, Fusion of IKONOS satellite imagery using IHS transform and local variation, IEEE Geosci Remote Sens Lett, 5, 653, 10.1109/LGRS.2008.2002034

Kalpoma, 2007, Image fusion processing for IKONOS 1-m color imagery, IEEE Trans Geosci Remote Sens, 45, 3075, 10.1109/TGRS.2007.897692

Zhang, 1999, A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application, Proc IEEE, 87, 1315, 10.1109/5.775414

Li, 2008, Multifocus image fusion using region segmentation and spatial frequency, Image Vis Comput, 26, 971, 10.1016/j.imavis.2007.10.012

Kumar, 2009, A total variation-based algorithm for pixel-level image fusion, IEEE Trans Image Process, 18, 2137, 10.1109/TIP.2009.2025006

Li, 2006, A region-based multi-sensor image fusion scheme using pulse-coupled neural network, Pattern Recognit Lett, 27, 1948, 10.1016/j.patrec.2006.05.004

Yang B, Chen E. Image fusion using an improved max-lifting scheme. In: Proceedings of IEEE second international congress on image and signal processing (CISP); 2009. p. 1–5.

Reed, 1996, Image fusion and subpixel parameter estimation for automated optical inspection of electronic components, IEEE Trans Ind Electron, 43, 346, 10.1109/41.499806

Leon, 2006, Inspection of specular and painted surfaces with centralized fusion techniques, Measurement, 39, 536, 10.1016/j.measurement.2005.12.007

Razlighi QR, Kehtarnavaz N. Correction of over-exposed images captured by cell-phone cameras. In: Proceedings of IEEE international symposium on consumer electronics (ISCE); 2007. p. 1–6.

Lewis, 2007, Pixel- and region-based image fusion with complex wavelets, Inf Fusion, 8, 119, 10.1016/j.inffus.2005.09.006

Drajic, 2007, Adaptive fusion of multimodal surveillance image sequences in visual sensor networks, IEEE Trans Consum Electron, 53, 1456, 10.1109/TCE.2007.4429237

Yang J, Blum RS. Image fusion using the expectation–maximization algorithm and a hidden Markov model. In: Proceedings of IEEE 60th vehicular technology conference, vol. 6; 2004. p. 4563–7.

Ryan, 1995, Night pilotage assessment of image fusion, Proc SPIE, 2465, 50, 10.1117/12.209751

Toet, 2003, Perceptual evaluation of different image fusion schemes, Displays, 24, 25, 10.1016/S0141-9382(02)00069-0

Piella G. Adaptive wavelets and their applications to image fusion and compression. Ph.D. thesis, University of Amsterdam, Amsterdam, Netherlands; 2003.

Li, 1995, Multisensor image fusion using the wavelet transform, Graphic Models Image Process, 57, 235, 10.1006/gmip.1995.1022

Li, 2008, Multifocus image fusion by combining curvelet and wavelet transform, Pattern Recognit Lett, 29, 1295, 10.1016/j.patrec.2008.02.002

Rockinger, 1997, Image sequence fusion using a shift-invariant wavelet transform, Proc IEEE Int Conf Image Process, 3, 288, 10.1109/ICIP.1997.632093

Wang, 2004, Image quality assessment: from error visibility to structural similarity, IEEE Trans Image Process, 13, 600, 10.1109/TIP.2003.819861

Cover, 2006

Cvejic, 2009, A nonreference image fusion metric based on the regional importance measure, IEEE J Sel Top Signal Process, 3, 212, 10.1109/JSTSP.2009.2015071

Cvejic, 2007, Region-based multimodal image fusion using ICA bases, IEEE Sens J, 7, 743, 10.1109/JSEN.2007.894926

Petrovic, 2007, Objectively adaptive image fusion, Inf Fusion, 8, 168, 10.1016/j.inffus.2005.10.002

Blum, 2006

Deshmukh, 2010, Image fusion and image quality assessment of fused images, Int J Image Process (IJIP), 4, 484

Chen, 2009, A new automated quality assessment algorithm for image fusion, Image Vis Comput, 27, 1421, 10.1016/j.imavis.2007.12.002

Qu, 2002, Information measure for performance of image fusion, Electron Lett, 38, 313, 10.1049/el:20020212

Cvejic, 2006, Image fusion metric based on mutual information and Tsallis entropy, Electron Lett, 42, 626, 10.1049/el:20060693

Nava R, Cristóbal G, Ramírez BE. Mutual information improves image fusion quality assessments. In: SPIE electronic imaging & signal processing; 2007.

Wang, 2002, A universal image quality index, IEEE Signal Process Lett, 9, 81, 10.1109/97.995823

Piella, 2003, A new quality metric for image fusion, Proc Int Conf Image Process (ICIP), 3, 173

Xydeas, 2000, Objective image fusion performance measure, Electron Lett, 36, 308, 10.1049/el:20000267

Hoeffding W. Masstabinvariante korrelationstheorie, Schriften des Mathematischen Instituts und des Instituts für Angewandte Mathematik der, Universitat Berlin 5; 1940. p. 181–233.

Fréchet, 1951, Sur les tableaux de corrélation dont les marges sont donnés, Ann Univ Lyon A, 14, 53

Morgenstern, 1956, Einfache beispiele zweidimensionaler verteilungen, Mitteilungs Math Stat, 8, 234

Gumbel, 1961, Bivariate logistic distributions, J Am Stat Assoc, 56, 335, 10.2307/2282259

Marshall, 1985, A family of bivariate distributions generated by the bivariate Bernoulli distribution, J Am Stat Assoc, 806, 332, 10.2307/2287890

Nelsen, 1987, Discrete bivariate distributions with given marginals and correlation, Commun Stat Simul Comput, 16, 199, 10.1080/03610918708812585

Kvalseth, 1987, Entropy and correlation: some comments, IEEE Trans Syst Man Cybern, 17, 517, 10.1109/TSMC.1987.4309069

Hossny, 2008, Comments on ‘Information measure for performance of image fusion’, Electron Lett, 44, 1066, 10.1049/el:20081754

Toet, 1989, Image fusion by a ratio of low-pass pyramid, Pattern Recognit Lett, 9, 245, 10.1016/0167-8655(89)90003-2

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