Image Fusion Techniques-A Comparative Study
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2016 by IJETT Journal | ||
| Volume-32 Number-2 |
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| Year of Publication : 2016 | ||
| Authors : Vibha Gupta, Sakshi Mehra |
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| DOI : 10.14445/22315381/IJETT-V32P220 |
Citation
Vibha Gupta, Sakshi Mehra"Image Fusion Techniques-A Comparative Study", International Journal of Engineering Trends and Technology (IJETT), V32(2),113-118 February 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Image fusion is the process of combining relevant information from two or more images into a single image which contains more information than any of the input images. Merging of two or more images produces high resolution multispectral image as it maximizes the relevant information from input images of a scene into a single composite image by reducing uncertainty which further minimize redundancy in the output. In this paper a review has been made on different techniques of image fusion. It includes classification of Image Fusion techniques like Spatial Domain and Frequency Domain which are further classified as Simple Average, Minimum, Maximum, Intensity Hue Saturation, Principle Component Analysis, Laplacian Pyramid, Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT) and Integer Lifting Wavelet Transform.
References
[1] M.D. Nandeesh and Dr. M. Meenakshi, “ Image FusionAlgorithms for medical Images – A Comparison”, Bonfiring International Journal of Advances in Image Processing, Vol. 5, No. 3, July 2015.
[2] Dong Jiang, Dafang Zhuang, Yaohuan Huang and Jinying Fu, “Survey of Multispectral Image Fusion Techniques in Remote Sensing Applications”, "Image Fusion and Its Applications", book edited by Yufeng Zheng, Alcorn State University, USA , ISBN 978-953-307-182-4, Published: June 24, 2011
[3] S.A. Panwar and Sayali Malwadkar, “A Review: Image Fusion Techniques for Multisensor Images “, IJAREEIE : Vol. 4, Issue 1, January 2015.
[4] Shutao Li, “ Image Fusion with guided filtering” , IEEE Transactions on Image Processing, Vol 22, no7 July 2013.
[5] Suruchi Goyal,Rupinder Wahla,” A Review on Image Fusion”, IJIRCCE Vol. 3, Issue 8, August 2015.
[6] Sweta k. Shah and Prof. D.U. Shah,” A Review on Image Fusion Techniques”, International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, Vol. 2, Issue 3, March 2014.
[7] Deepak Kumar Sahu and M.P. Parsari. “Different Image Fusion Techniques – A Critical Review”, IJMER Vol. 2, issue 5, sept- oct. 2012 pp-4298-4301)
[8] Gonzalo Pajares, Jesus Manuel de la cruz, “ A wavelet based Image fusion tutorial” 2004 Pattern recognition society.
[9] V PS Naidu and J.R Raoe, “ Pixel level Image Fusion using wavelets and Principal Component Analysis”, Defence Science Journal, Vol. 58, No. 3, May 2008.
[10] Shalima and Dr. Rajinder Virk, “Review of Image Fusion Techniques”, IRJET Vol. 02, Issue 03, June 2015.
[11] Wencheng Wang, Faliang Chang,” A Multi-focus Image Fusion Method Based on Laplacian Pyramid”, Journal of Computers, Vol 6, No 12 (2011), 2559-2566, Dec 2011 doi:10.4304/jcp.6.12.2559-2566
[12] Deepali A Godse, Dattatraya S. Bormane, “Wavelet Based Image Fusion Using Pixel Based maximum selection rule”, IJEST, Vol 3, No. 7 July 2001ISSN: 0975-5462.
[13] Amit Kumar Pathak and M.P. Parsari, “ A study of Various Image Fusion Techniques”, International Journal of Engineering Trends and Technology, Vol 15 Number 2- Sept. 2014.
[14] Rajveer Kaur, Er. Gurpreet Kaur, “ A Comprehensive Review on Image Fusion Techniques”, IJECS ISSN: 2319-7242 Volume 4 Issue 6 June 2015, Page No. 12914-12918.
[15] Dhirendra Mishra and Bhakti Palkar,” Image Fusion Techniques : A Review”, IJCA (0975-8887) Volume 130-No.9, November 2015
[16] Gonzalo Pajares, Jesus Manuel de la cruz,” A wavelet based Image fusion tutorial », 2004 Pattern recognition society.
[17] M. Chandana, S. Amutha and Naveen Kumar, “ A Hybrid Multi- focus Medical Image fusion based on Wavelet Transform” ,International Journal of Research & Reviews in Computer Science;Aug2011, Vol. 2 Issue 4, p948.
[18] N. INDHUMADHI, G. PADMAVATHI,” Enhanced Image Fusion Algorithm using Laplacian Pyramid and Spatial frequency based Wavelet Algorithm”, International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-1, Issue-5, November 2011
[19] Prasannak`umar S Shivaraddi, Nita Khakandaki, “Medical Image Fusion using Fast Discrete Wavelet Transform and Quality Assessment of Fused Images” International Journal of Engineering Trends and Technology (IJETT), Volume 21Number2015.
[20] Brundashree .R, Nita Kakhandaki, S.B.Kulkarni, S.F. Rodd,M. M. Matt"The PET-MRI Brain Image Fusion Using Wavelet TransformsIJETT,V23(6),304-307 May 2015
Keywords
Image Fusion, Spatial Domain, Transform Domain, Pyramid Decomposition, Medical Imaging, Remote Sensing.