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Original Articles

Swarm intelligence based optimisation in thermal image fusion using dual tree discrete wavelet transform

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Pages 24-43 | Received 11 Jan 2016, Accepted 22 Jun 2016, Published online: 15 Sep 2016

References

  • Schnelle SR, Chan AL. Fusing infrared and visible imageries for improved tracking of moving targets. Adelphi: Army Research Labortary; 2011 Jul (ARL-TR-5552).
  • El-Maadi A, Grégoire V, St-Laurent L, et al. Visible and infrared imagery for surveillance applications: software and hardware considerations. Quant. InfraRed Thermogr. J. 2007;4:25–40.10.3166/qirt.4.25-40
  • Prokoski F, Riedel R. Infrared identification of faces and body Part. In: Jain AK, Bolle RM, Pankanti S, editors. BIOMETRICS personal identification in networked society. Boston: Kluwer Academic Publishers; 1998. p. 191–212.
  • Schnelle SR, Lipchen Chan A. Enhanced target tracking through infrared-visible image fusion. 14th Int. Conference on Information Fusion; 2011 Jul 5–8; Chicago, IL.
  • Bebis G, Gyaourova A, Singh S, et al. Face recognition by fusing thermal infrared and visible imagery. Image Vision Comput. 2006;24:727–742.10.1016/j.imavis.2006.01.017
  • Saeedi J, Faez K. Infrared and visible image fusion using fuzzy logic and population-based optimization. Appl. Soft Comput. 2012;12:1041–1054.10.1016/j.asoc.2011.11.020
  • Raghavendra R, Dorizzi B, Rao A, et al. Particle swarm optimization based fusion of near infrared and visible images for improved face verification. Pattern Recognit. 2011;44:401–411.10.1016/j.patcog.2010.08.006
  • Singh R, Khare A. Fusion of multimodal medical images using Daubechies complex wavelet transform – a multiresolution approach. Inf. Fusion. 2014;19:49–60.10.1016/j.inffus.2012.09.005
  • Prokoski F. History, current status, and future of infrared identification. Proc. of IEEE workshop on computer vision beyond the visible spectrum: methods and applications, Hilton Head Island, SC; 2000. p. 5–14.
  • Daneshvar S, Ghassemian H. MRI and PET image fusion by combining IHS and retina-inspired model. Inf. Fusion. 2010;11:114–123.10.1016/j.inffus.2009.05.003
  • Dey T. A survey on different fusion techniques of visual and thermal images for human face recognition. Int. J. Electron. Commun. Comput. Eng. 2013;4:10–14.
  • Ramac LC, Uner MK, Varshney PK. Morphological filters and wavelet based image fusion for concealed weapon detection. Proceedings of SPIE. 1998;3376110–119.
  • Naidu VPS, Raol JR. Pixel-level image fusion using wavelets and principal component analysis. Defence Sci. J. 2008;58:338–352.10.14429/dsj
  • Chibani Y. Additive integration of SAR features into multispectral SPOT images by means of the atrous wavelet decomposition. ISPRS J. Photogramm. Remote Sens. 2006;60:306–314.10.1016/j.isprsjprs.2006.05.001
  • Olkkonen H, Pesola P. Gaussian pyramid wavelet transform for multiresolution analysis of images. Graph. Models Im. Process. 1996;58:394–398.10.1006/gmip.1996.0032
  • Burt P, Adelson E. The Laplacian pyramid as a compact image code. IEEE Trans. Commun. 1983;31:532–540.10.1109/TCOM.1983.1095851
  • Toet A, Van Ruyven JJ, Valeton JM. Merging thermal and visual images by a contrast pyramid. Opt. Eng. 1989;28:789–792.
  • Toet A. Image fusion by a ratio of low-pass pyramid. Pattern Recognit. Lett. 1989;9:245–253.10.1016/0167-8655(89)90003-2
  • Anderson H. A filter- subtract-decimate hierarchical pyramid signal analysing and synthesizing technique. U.S. Patent 718 104. 1987.
  • Li H, Manjunath BS, Mitra SK. Multi-sensor image fusion using the wavelet transform. Graph. Models Im. Process. 1995;57:235–245.10.1006/gmip.1995.1022
  • Mallat S. A wavelet tour of signal processing. London: Academic Press; 1998.
  • Heijmans HJ, Goutsias J. Multiresolution signal decomposition schemes, part 2: morphological wavelets. IEEE Trans. Im. Process. 2000;9:1897–1913.10.1109/83.877211
  • Kingsbury NG. Image processing with complex wavelets. Phil. Trans. R. Soc. A. 1999;357:2543–2560. doi:10.1098/rsta.1999.0447
  • Kingsbury NG. A dual-tree complex wavelet transform with improved orthogonality and symmetry properties. Proc. IEEE Conference on Image Processing; 2000 Sep 10–13; Vancouver, Canada;2:375–378.
  • Kingsbury NN. Complex wavelets for shift invariant analysis and filtering of signals. J. Appl. Comput. Harmonic Anal. 2001;10:234–253.10.1006/acha.2000.0343
  • Kingsbury NG. Design of Q-shift complex wavelets for image processing using frequency domain energy minimization. Proc. IEEE Conference on Image Processing; 2003 Sep; Barcelona;1:1013–1016.
  • Liu L, Wang D, Yang S. Compound particle swarm optimization in dynamic environments. EvoWorkshops, LNCS 4974. 2008. p. 617–626.
  • Liu Z, Blasch E, Xue Z, et al. Objective assessment of multi-resolution image fusion algorithms for context enhancement in night vision: a comparative study. IEEE Trans. Pattern Anal. Mach. Intell. 2012;34:94–109.10.1109/TPAMI.2011.109
  • Wang Q, Shen Y, Jin J. Performance evaluation of image fusion techniques. In: Stathaki T, editor. Image fusion: algorithms and applications. Amsterdam: Elsevier. 2008. Chapter 19; p. 469–492.
  • Xydeas CS, Petrović VS. Objective image fusion performance measure. Electron. Lett. 2000;36:308–309.10.1049/el:20000267
  • Zhao Z, Laganiere R, Liu Z. Performance assessment of combinative pixel-level image fusion based on an absolute feature measurement. Int. J. Innovative Comput. Inf. Control. 2007;6:1433–1447.
  • Piella G, Heijmans H. A new quality metric for image fusion. Proc. Int’l Conference Image Process. 2003.10.1109/ICIP.2003.1247209
  • Chen Y, Blum RS. A new automated quality assessment algorithm for image fusion. Image Process. Vision Comput. 2009;27:1421–1432.10.1016/j.imavis.2007.12.002
  • Wei ZG, Yuan JH, Cai YL. A picture quality evaluation method based onhuman perception. Acta Electron. Sinica. 1999;27:79–82.
  • Shi W, Zhu C, Tian Y, et al. Wavelet-based image fusion and quality assessment. Int. J. Appl. Earth Obs. Geoinf. 2005;6:241–251.10.1016/j.jag.2004.10.010
  • Fonseca L, Namikawa L, Castejon E, et al. Image fusion for remote sensing applications. In: Zheng Y, editor. Image fusion and its applications. Chapter 9; p. 153–178. ISBN: 978-953-307-182-4. Available from: http://www.intechopen.com/books/image-fusion-andits-applications/image-fusion-for-remote-sensing-applications

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