Image Fusion Technique and Genetic Algorithm A Review

Deepak Awasthi*, **
*_** Department of CSE, Amity School of Engineering & Technology, Amity University Noida, Uttar Pradesh, India.
Periodicity:December - February'2014
DOI : https://doi.org/10.26634/jit.3.1.2644

Abstract

Image fusion is technique in which two or more images of same scene are merged together such that new image formed suitable for better interpretation. Image fusion result into a fused image that continue to have the most useful information. This fused Image has characteristics of each input image. Various standard method used for image fusion produce good result spatially but cause spatial noise. To remove this distortion and enhance quality of fused image, various fusion schemes have been proposed. In this paper, we focus on the fusion methods based on various standard techniques and compare it with wavelet transform used for image fusion .Wavelet transform is majorly used in the area of image fusion because it provide better results in temporal domain as well as spatial domain .Performance of any fusion technique is measured by mean standard deviation, entropy, average gradient, peak signal to noise ratio (PSNR) and correlation coefficients.

Keywords

Various Image Fusion Technique, Wavelet Transform, Performance Measure, Genetic Algorithm

How to Cite this Article?

Awasthi, D., and Gupta, R. (2014). Image Fusion Technique and Genetic Algorithm A Review. i-manager’s Journal on Information Technology, 3(1), 22-27. https://doi.org/10.26634/jit.3.1.2644

References

[1]. S. Ibrahim and M. Wirth, (2009). “Multi-resolution region-based image fusion using the Contourlet Transform,” in IEEE TIC-STH, Sept.
[2]. Shih-Gu Huang, “Wavelet for Image Fusion”.
[3]. Mantas Paulinas, Andrius Ušinskas “A survey of genetic algorithms applications for image enhancement and segmentation”
[4]. RC Gonzalez and RE Woods, (2002). Digital Image Processing, 2nd Ed., Englewood Cliffs, NJ: Prentice-Hall, Inc.,
[5]. Chaunté W. Lacewell, Mohamed Gebril, Ruben Buaba, and Abdollah Homaifar, “Optimization of Image Fusion Using Genetic Algorithms and Discrete Wavelet Transform”.
[6]. H. Li, M. Mitra, and S. Mitra. (2010), "Multi-sensor Image Fusion Using t h e Wavelet Transform” . [Online].Available:http://vision.ece.ucsb.edu/publicatio ns /94ICIPWav.pdf, 1994.
[7]. Isaac Bankman, (2000). “Handbook of Medical Imaging, Medical image processing and analysis”, 1st edition, Academic Press,
[ 8 ] . Jonathan Sachs , “ Image Re - sampling ” , http://www.dl-c.com/Resampling.pdf
[9]. Deepak Kumar Sahu1, M.P.Parsai, “Different Image Fusion Techniques –A Critical Review”, Department of Electronics & Communication Engineering, Jabalpur Engineering College, Jabalpur MP, India).
[10]. Gehad Mohamed Taher, (2013). Image fusion approach with noise reduction using Genetic Algorithm”, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 4, No. 11,
[11]. R. Balasubramanian and Gaurav Bhatnagar, “A new Contrast Based Image Fusion using Wavelet Packets”, Department of Mathematics, Indian Institute of Technology , Roorkee, India.
[12]. B. Yang, S. Li, “Pixel-level image fusion with simultaneous orthogonal matching pursuit”, Information Fusion 13 (2012) 10–19.
[13]. Min Li, “A region-based multi-sensor image fusion scheme using pulse-coupled neural network”, Pattern Recognition Letters Volume 27 Issue 16, December, 2006.
[14]. Zheng Liu, Forsyth, D.S., Safizadeh, M.-S., Fahr, A., (2008). “A Data-Fusion Scheme for Quantitative Image Analysis by Using Locally Weighted Regression and Dempster–Shafer Theor y", Instrumentation and Measurement, IEEE Transactions on , vol.57, no.11, pp.2554,2560, Nov. doi: 10.1109/TIM.2008.924933
[15]. Deepali A.Godse, Dattatraya S. Bormane, (2011). "Wavelet based image fusion using pixel based maximum selection rule”, International Journal of Engineering Science and Technology (IJEST), Vol. 3 No. 7 July, ISSN : 0975-5462.
[16]. OliverRockinger ,http://metapix.de/examples.html.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.