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Wavelet and Curvelet Transformation based Image Fusion with ANFIS and SVM

by Maninder Kaur, Pooja
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 14
Year of Publication: 2015
Authors: Maninder Kaur, Pooja
10.5120/21607-4639

Maninder Kaur, Pooja . Wavelet and Curvelet Transformation based Image Fusion with ANFIS and SVM. International Journal of Computer Applications. 121, 14 ( July 2015), 13-19. DOI=10.5120/21607-4639

@article{ 10.5120/21607-4639,
author = { Maninder Kaur, Pooja },
title = { Wavelet and Curvelet Transformation based Image Fusion with ANFIS and SVM },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 14 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 13-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number14/21607-4639/ },
doi = { 10.5120/21607-4639 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:08:24.065151+05:30
%A Maninder Kaur
%A Pooja
%T Wavelet and Curvelet Transformation based Image Fusion with ANFIS and SVM
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 14
%P 13-19
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Image fusion is a data fusion innovation which keeps images as main research substance which refers to the strategies that integrate multi-images of the same scene from multiple image sensor data or integrate multi images of the same scene at different times from single image sensor. In this paper we describes a novel image fusion method, is suitable for pan-sharpening of multispectral (MS) bands which are based on multi-resolution analysis. The low-resolution MS bands are sharpened by injecting high-pass directional details extracted from the high-resolution panchromatic (Pan) image by means of the Wavelet and Curvelet transform, which is a non-separable MRA, whose basis function are directional edges with progressively increasing resolution. We introduce a new method based on the Wavelet and Curvelet transform using Neural Network which represents edges better than wavelets in this paper. Therefore, edges play a fundamental role in image understanding and one important way to enhance spatial resolution is to enhance the edges. Wavelet and Curvelet-based image fusion method provides richer information in the spatial and spectral domains simultaneously

References
  1. Smt. G. Mamatha (Phd), L. Gayatri 2012. "An image fusion using wavelet and curvelet transforms''. Global Journal of Advanced Engineering Technologies, Volume 1, Issue-2.
  2. T. Ranchin and L. Wald 2000, "Fusion of High Spatial and Spectral Resolution images: The ARSIS Concept and Its Implementation," Photogrammetric Engineering and Remote Sensing, volume. 66, pp. 49-61.
  3. L. Wald, T. Ranchin and M. Mangolini 1997, "Fusion of Satellite images of different spatial resolution: Assessing the quality of resulting images," Photogrammetric Engineering and Remote Sensing, volume. 63, pp. 691-699.
  4. J. Nunez, X. Otazu, O. Fors, A. Prades, V. Pala and R. Arbiol 1999, "Multiresolution-based image fusion with additive wavelet decomposion," IEEE Transactions on Geoscience and Remote sensing, volume. 37, pp. 1204-1211.
  5. J. Cand`es1999, "Harmonic analysis of neural networks," Application Computer Harmonic. Analysis,volume. 6, pp. 197-218.
  6. J. L. Starck, E. J. Cand`es and D. L. Donoho 2002, "The curvelet transform for image denosing," IEEE Trans. Image Processing, volume. 11, pp. 670-684.
  7. J. L. Starck, E, J. Cand`es, and D. L. Donoho 2003, "Gray and Color Image Contrast Enhancement by the Curvelet Transform," IEEE Trans. Image Processing, volume. 12, pp. 706-717.
  8. E. J. Candes 1998, "Ridge lets: Theory and Applications," Ph. D. Thesis, Department of Statistics, Stanford University, Standford, CA.
  9. D. L. Donoho 1998, "A theory for multi-resolution signal decomposition: the wavelet representation," IEEE Pattern Anal. and Machine Intell. , volume. 11, no. 7, pp. 674–693".
  10. D. L. Donoho 2003, "Orthonormal ridge lets and linear singularities," SIAM J. Math Analysis, volume. 31, pp. 1062-1099.
  11. M. I. Smith, J. P. Heather 2005, "Fusion Technology Review of Image in 2005," Proceedings of the SPIE, Volume 5782, pp. 29-45.
  12. Yong Yang 2010, "Multi modal Medical Image Fusion through a New DWT Based Technique", 4th International Conference on Bioinformatics and Biomedical Engineering, pp 1-4.
  13. Chandrakanth. R, SaibabaJ, Varadan. G, Raj. PA 2011,"Fusion of High Resolution Satellite SAR and Optical Images "International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping, pp 1-6.
  14. T. S. Anand, K. Narasimhan, P. Saravanan 2012 ''Performance Evaluation of Image Fusion Using the Multi-Wavelet and Curvelet Transforms'' IEEE, International Conference On Advances In Engineering, Science And Management.
  15. Ms. Maninder kaur, Ms. Pooja 2015, 'Optimal Image Fusion using Neuro-Fuzzy Algorithm and SVM" Australian Journal of Information Technology and Communication Volume II,ISSN 2203-2843
  16. R. J. Sapkal, S. M. Kulkarni 2012,"Image Fusion based on Wavelet Transform for Medical Application''International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622
  17. D. Egfin Nirmala, A. Bibin Sam Paul and V. Vaidehi 2013,' improving independent component analysis using support vector machines for multimodal image fusion" Journal of Computer Science 9 : 1117-1132.
  18. Navneet kaur, Madhu Bahl 2014 "Review on: Image Fusion using Wavelet and Curvelet Transform"International Journal of Computer Science and Information Technologies,Volume. 5.
  19. Johnson Suthakar, J. Monica Esther M. E, D. Annapoorani, F. Richard Singh Samuel 2014" Study of Image Fusion-Techniques, Method and Applications"International Journal of Computer Science and Mobile Computing , Volume. 3.
Index Terms

Computer Science
Information Sciences

Keywords

Edge Detection Wavelet and Curvelet Transform Neuro-Fuzzy (ANFIS) Support Vector Machine (SVM)

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