CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

An Approach for Image Fusion using PCA and Genetic Algorithm

by Ramandeep Kaur, Sukhpreet Kaur
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 145 - Number 6
Year of Publication: 2016
Authors: Ramandeep Kaur, Sukhpreet Kaur
10.5120/ijca2016910816

Ramandeep Kaur, Sukhpreet Kaur . An Approach for Image Fusion using PCA and Genetic Algorithm. International Journal of Computer Applications. 145, 6 ( Jul 2016), 54-59. DOI=10.5120/ijca2016910816

@article{ 10.5120/ijca2016910816,
author = { Ramandeep Kaur, Sukhpreet Kaur },
title = { An Approach for Image Fusion using PCA and Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 145 },
number = { 6 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 54-59 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume145/number6/25286-2016910816/ },
doi = { 10.5120/ijca2016910816 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:48:06.999775+05:30
%A Ramandeep Kaur
%A Sukhpreet Kaur
%T An Approach for Image Fusion using PCA and Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 145
%N 6
%P 54-59
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The pattern of mixing multiple images so as to get a single, well developed image is well established. Various fusion methods have been advanced in literature. The current paper is based on image Fusion using PCA and Genetic Algorithm. The pictures of equal size are considered for experimentation. In order to overcome the problems of conventional techniques Genetic Algorithm can be used in collaboration with the technique of PCA (Principal Component Analysis). In Image Fusion, Genetic Algorithm can be signed when optimization of parameter is required. Also for the optimization of the weight values, Genetic algorithm is used. The various parameters used to measure the ability of image fusion technique are Mean Square Error, Entropy, Mean, Bit Error Rate, Mean, Peak Signal to Noise Ratio. From the above experiment we find that this method works well and the quality of the output image is far better than previous methods.

References
  1. R. C. Gonzalez and R. E. Woods Digital Image Processing, 2nd edition, Pearson Education, 2004.
  2. C. Pohl, “Review Article Multisensor Image Fusion in Remote Sensing: Concepts, Methods and Applications”, International Journal of Remote Sensing, 2010,Vol. 19,No. 5,pp. 823-854.
  3. Wencheng Wang, “A Multi-focus Image Fusion Method Based on Laplacian Pyramid”, Journal of Computers,2011, Vol. 6, pp. 2259-2566.
  4. S.M. Mukane, Y. S. Ghodake, and P. S. Khandagle, “Image Enhancement Using Fusion by Wavelet Transform and Laplacian Pyramid.”, arXiv preprint arXiv:1401.6129,2013.
  5. Pavithra C, “ Fusion of Two Images Based on Wavelet Transform”, International Journal of Innovative Research in Science, Engineering and Technology,2013, Vol. 2, Issue 5, pp. 1814-1819.
  6. Mentor, Ph D. Student, and Hariharasudhan Viswanathan, “Image Fusion Using Laplacian Pyramid Transform”.
  7. Kusum Rani, “ Study of Image Fusion using Discrete wavelet and Multiwavelet Transform”, International Journal of Innovative Research in Computer and Communication Engineering,2013. Vol. 1, Issue 4, pp. 95-99.
  8. Gagandeep Kaur, “A New Hybrid Wavelet Based Approach for Image Fusion”, International Journal of Innovative Research in Science, Engineering and Technology,2015, Vol. 4, Issue 1, pp. 1934- 1043.
  9. Reham Gharbia, “Image fusion techniques in remote sensing”, arXiv preprint arXiv:1403.5473,2014.
  10. Sukhpreet Singh and Rachna Rajput, “Multiple Image Fusion Using Laplacian Pyramid”, International journal of Engineering And Computer Science,2014,Vol 3,Issue 12,pp 9442-9446.
  11. S.M. Mukane, Y. S. Ghodake, and P. S. Khandagle, “Image enhancement using fusion by wavelet transform and laplacian pyramid”, arXiv preprint arXiv:1401.6129,2013.
  12. Metwalli, M.R, “Image Fusion Based on Principal Component Analysis and High-pass Filter”, Computer Engineering & Systems. ICCES International Conference on,2009, pp. 63-70.
  13. V.P.S. Naidu and J.R. Raol, “Pixel-level Image Fusion using Wavelets and Principal Component Analysis”, Defenses Science Journal,2008, Vol. 58, No. 3, pp. 338-352.
  14. Nirosha Joshitha, “Image Fusion using PCA in Multifeature Based Palmprint Recognition”, International Journal of Soft Computing and Engineering (IJSCE),2012, VoL.02, Issue-2, pp 226-230.
  15. Gehad Mohamed Taher, “Image fusion approach with noise reduction using Genetic Algorithm”, (IJACSA) International Journal of Advanced Computer Science and Applications, 2013,Vol. 4, No. 11.
  16. Jun Kong, “Multi-focus Image Fusion Using Spatial Frequency and Genetic Algorithm”, IJCSNS:International Journal of Computer Science and Network Security,2008, Vol. .8,No. 2.
  17. Jyoti S.Kulkarni, “A Survey of Image Fusion using Genetic Algorithm”, International Journal of Computer Applications (0975 – 8887) National Conference on Advances in Computing,2015.
Index Terms

Computer Science
Information Sciences

Keywords

PCA Genetic algorithm Mean Square Error Entropy Mean Bit Error Rate Mean Peak Signal to Noise Ratio.

Powered by PhDFocusTM