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Image Fusion Techniques: A Review

by Dhirendra Mishra, Bhakti Palkar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 130 - Number 9
Year of Publication: 2015
Authors: Dhirendra Mishra, Bhakti Palkar
10.5120/ijca2015907084

Dhirendra Mishra, Bhakti Palkar . Image Fusion Techniques: A Review. International Journal of Computer Applications. 130, 9 ( November 2015), 7-13. DOI=10.5120/ijca2015907084

@article{ 10.5120/ijca2015907084,
author = { Dhirendra Mishra, Bhakti Palkar },
title = { Image Fusion Techniques: A Review },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 130 },
number = { 9 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 7-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume130/number9/23235-2015907084/ },
doi = { 10.5120/ijca2015907084 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:24:54.082920+05:30
%A Dhirendra Mishra
%A Bhakti Palkar
%T Image Fusion Techniques: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 130
%N 9
%P 7-13
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image Fusion is used to retrieve important data from a set of input images and put it into a single output image to make it more informative and useful than any of the input images. It improves quality and applicability of data. Quality of the fused image depends on the application. Image fusion is widely used in intelligent robots, stereo camera fusion, medical imaging, and manufacture process monitoring, electronic circuit design and inspection, complex machine/device diagnostics and in intelligent robots on assembly lines. This paper presents a literature review on various spatial and frequency domain image fusion techniques such as averaging, min-max, block replace, HIS,PCA, brovey, pyramid based and transform based techniques. Various quality measures have been discussed to perform quantitative comparison of these methods.

References
  1. L.A. Klein, "Sensor and Data Fusion Concepts and Applications," SPIE Optical Engineering Press, Tutorial Texts, Vol. 14, pp.132-139, 1993.
  2. Shutao Li, “Image Fusion with Guided Filtering”, IEEE Transactions On Image Processing, Vol. 22, No. 7, July 2013
  3. Gillespie, A.R., A.B. Kahle, and R.E. Walker, 1987, “Colour enhancement of highly correlated images-II: Channel ratio and chromaticity transformation techniques”, Remote Sensing of Environment 22:343–365.
  4. Harris, J.R., R. Murray, and T. Hirose (1990). “IHS transform for the integration of radar imagery with other remotely sensed data.” Photogrammetric Engineering and Remote Sensing, Vol. 56, No. 12, pp. 1631-1641.
  5. M. D. Jasiunas, D. A. Kearney, J. Hopf, “Image Fusion for Uninhabited Airborne Vehicles”, Proceedings of IEEE International Conference on Field Programmable Technology, 2002, pp. 348-351.
  6. Dong, J., Zhuang, D., Huang, Y., Fu, J., “Survey of Multispectral Image Fusion Techniques in Remote Sensing Applications”, Intech., 1–22 (2011)
  7. Le Song, Yuchi Lin, Weichang Feng, Meirong Zhao “A Novel Automatic Weighted Image Fusion Algorithm”, International Workshop on Intelligent Systems and Applications, ISA ,2009, Page(s): 1 – 4
  8. V.P.S. Naidu and J.R. Raol, “Pixel-level Image Fusion using Wavelets and Principal Component Analysis”, Defence Science Journal, Vol. 58, No. 3, May 2008, pp. 338-352 Ó 2008, DESIDOC
  9. Lindsay I Smith, “A Tutorial on Principal Component Analysis”,http://www.cs.otago.ac.nz/cosc453/student_tut orials/principal_components.pdf
  10. “Principal Component Analysis”, http://www.cse.unr.edu/~bebis/MathMethods/PCA/lectur e.pdf
  11. F. Sadjadi, “Comparative Image Fusion Analysis”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 3, Issue , 20-26 June 2005 Page(s): 8 – 8
  12. SanjuKumari, Mahesh Malviya, Srikant Lade, “Image Fusion Techniques Based on Pyramid Decomposition”, International Journal of Artificial Intelligence and Mechatronics, Volume 2, Issue 4, ISSN 2320 – 5121
  13. Simrandeep Singh, Narwant Singh Grewal, Harbinder Singh,“ Multi-resolution Representation of Multifocus Image Fusion Using Gaussian and Laplacian Pyramids”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 11, November 2013,ISSN: 2277 128X
  14. P. Burt, E. Adelson, “Laplacian pyramid as a compact image code”, IEEE Transactions on Communications, Vol.31, No. 4, 1983
  15. Olkkonen, H., and Pesola, P., “Gaussian Pyramid Wavelet Transform for Multiresolution Analysis of Images”, Graphical Models and Image Processing, vol. 58, pp. 394- 398, 1996.
  16. P. Burt, "A gradient pyramid basis for pattern selective image fusion", the Society for Information Displays (SID) International Symposium Digest of Technical Papers, 23,pp. 467-470 (1992).
  17. Toet, A., “Image fusion by a ratio of low-pass pyramid”, Pattern Recognition Letters 9, pp. 245-253, 1996.
  18. H. Anderson, “A filter-subtract-decimate hierarchical pyramid signal analyzing and synthesizing technique”, U.S. Patent 718 104, 1987.
  19. Ramac, L. C., Uner, M. K., Varshney, P. K., “Morphological filters and wavelet based image fusion for concealed weapon detection”, Proceedings of SPIE, Vol.3376, 1998.
  20. M. D. Jasiunas, D. A. Kearney, J. Hopf, “Image Fusion for Uninhabited Airborne Vehicles”, Proceedings of IEEE International Conference on Field Programmable Technology, 2002, pp. 348-351.
  21. VPS Naidu, “Discrete Cosine Transform based Image Fusion Techniques”, Journal of Communication, Navigation and Signal Processing (January 2012)Vol. 1, No. 1, pp. 35-45
  22. Rajiv Singh and Ashish Khare, “Multiscale Medical Image Fusion in Wavelet Domain”, Hindawi Publishing Corporation, The Scientific World Journal, Volume 2013, Article ID 521034, 10 pages, http://dx.doi.org/10.1155/2013/521034
  23. S. Mallat, “A Wavelet Tour of Signal Processing”, Academic Press, 1999.
  24. G. Pajares and J. M. dela Cruz, “A wavelet – based image fusion tutorial”, Pattern Recognition Journal, vol.37,no.9, Elsevier, pp. 1855–1872,2004.
  25. C. S. Burrus, R. A. Gopinath, H. Guo, J. E. Odegard, and I. W. Selesnick, “Introduction to Wavelets and Wavelet Transforms: A Priimer”, PrenticeHall, Upper Saddle River, NJ, USA,1998.
  26. M. Unserand T. Blu, “Wavelet theory demystified”, IEEE Transactions on Signal Processing, vol.51, no.2, pp.470–483, 2003
  27. Shivsubramani Krishnamoorthy , K. P. Soman,“Implementation and Comparative Study of Image Fusion Algorithms”, International Journal of Computer Applications (0975 – 8887) Volume 9– No.2, November 2010
  28. Dr. H. B. Kekre, Archana Athawale, Dipali Sadavarti “Algorithm to Generate Kekre’s Wavelet Transform from Kekre’s Transform”, International Journal of Engineering Science and Technology, Vol. 2(5), 2010, pp. 756-767
  29. H. B. Kekre, Tanuja Sarode, Rachana Dhannawat. "Implementation and Comparison of different Transform Techniques using Kekre's Wavelet Transform for Image Fusion", International Journal of Computer Applications, Vol. 44, No. 10, 2012, pp. 41-48.
  30. H. B. Kekre, Rachana Dhannawat, Tanuja Sarode. "Kekre’s Hybrid Wavelet Transform Technique with DCT, Walsh, Hartley and Kekre’s Transform for Image Fusion", International Journal of Computer Engineering & Technology, Vol 4,No .1 ,pp. 195-202.
  31. H. B. Kekre, Rachana Dhannawat, TanujaSarode, “Image Fusion Using Kekre’s Hybrid Wavelet Transform”, International Conference on Communication, Information & Computing Technology (ICCICT), Oct. 19-20, 2012,Mumbai, India
  32. Pusit Borwonwatanadelok, Wirat Rattanapitak and Somkait Udomhunsakul, “Multi-Focus Image Fusion based on Stationary Wavelet Transform”, 2009 International Conference on Electronic Computer Technology. 978-0-7695-3559-3/09 $25.00 © 2009 IEEE
  33. Somkait Udomhunsakul, Pradab Yamsang, Suwut Tumthong and Pusit Borwonwatanadelok, “Multiresolution Edge Fusion using SWT and SFM”, Proceedings of the World Congress on Engineering 2011 Vol II WCE 2011, July 6 - 8, 2011, London, U.K.
  34. K. Kannan, S. Arumuga Perumal, K. Arulmozhi , “Performance Comparison of various levels of Fusion of Multi-focused Images using Wavelet Transform”, ©2010 International Journal of Computer Applications (0975 – 8887) Volume 1 – No. 6
  35. Houkui Zhou, “An Stationary Wavelet Transform and Curvelet Transform Based Infrared and Visible Images Fusion Algorithm”, International Journal of Digital Content Technology and its Applications(JDCTA)Volume6,Number1,January 2012doi:10.4156/jdcta.vol6.issue1.18
Index Terms

Computer Science
Information Sciences

Keywords

Image Fusion Spatial Domain Frequency Domain Techniques Wavelets etc.

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