Enhancing the Quality of Satellite Images Enhancing through Combination of Feature and Pixel Level Image Fusion
محورهای موضوعی : Majlesi Journal of Telecommunication DevicesMahnaz zarei 1 , Mansour Esmaeilpour 2
1 - computer department, Faculty of Engineering, Islamic Azad university, Hamedan, Iran
2 - Assistant Professor of computer department, Faculty of Engineering, Islamic Azad university, Hamedan, Iran
کلید واژه: high pass filtering, Discrete Wavelet transform, multi-spectrum images, Quality enhancement of images, Image fusion,
چکیده مقاله :
Up to now, several methods have been proposed for image fusion in pixel level and feature level for quality enhancement of satellite images. From these methods, methods based on discrete wavelet transform (DWT); intensity hue saturation (IHS); and high pass filtering have attracted much attention. But in methods based on; intensity hue saturation and discrete wavelet transform each have disadvantages such as chromatic aberration and linear discontinuity of location characteristics. The present article proposed a new and effective method for fusion in pixel and feature level and by combining the mentioned methods intelligently; the new proposed method maintains the significant and salient characteristics of input images and simultaneously overcomes the mentioned weaknesses. Results are product of experiments evidencing this claim
[1] C. Pohl and J. L. Van Genderen, “Multisensor Image Fusion In Remote Sensing Concepts, Methods And Applications,” Int. J. Remote Sens., vol. 19, no. 5, pp. 823-854, 1998.
[2] B. J. Burt, E. H. Adelson, ”Merging Images Through Pattern Decomposition,” SPIE Appl. Digital Image Proc. ,vol. 575, no.3, pp.173-181,1985.
[3] M. Jalili-Moghaddam, Real-Time Multi-Focus Image Fusion Using Discrete Wavelet Transform And Laplasican Pyramid Transform. Chalmess University of Technology, Goteborg, Sweden, 2005.
[4] V. K. Mishra, S. Kumar, R. K. Gupta, Design and Implementation of Image Fusion System. IJCSE, International Journal of Computer Sciences and Engineering, 1, 182-186. 2014
[5] R. A. Mandhare, P. Upadhyay, S. Gupta, Pixel-Level Image Fusion Using Brovey Transforme And Wavelet Transform. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2(6), PP: 234-241 2013
[6] Z. Wang, D. Ziou, C. Armenakis, D. Li, Q. Li A Comparative Analysis of Image Fusion Methods, IEEE Transactions on Geoscience and Remote Sensing, VOL. 43, NO. 6, JUNE 2005
[7] A. K. Kannan, S. Arumuga Perumal “Optimal Decomposition Level of Discrete Wavelet Transform for Pixel-Based Fusion of Multi-Focused images. “ International Conference on Computational Intelligence and Multimedia Application 2007.
[8] Y. Yang, Chonazho han ,X. Kang, D. Han , An Over View On Pixel-Level Image Fusion in Rimote Sensing,”International Conference An Automational And Logistics “August 18-21- 2007 Jinan-china.
[9] Z. J. Wang, D. Ziou, C. Armenakis, D. Li, and Q.Q. Li, “A Comparative Analysis of Image Fusion Methods,” IEEE Trans. Geosci. Remote Sens., vol. 43, no. 6, pp. 1391-1402, June 2005.
[10] E. M. Schetselaar, “Fusion by the IHS Transform: should we use Cylindrical or Spherical Coordinates?” Int. J. Remote Sensing, vol.19, no.4, pp.759-765, 1998.
[11] G. Pajares, J. Manuel de la Cruz, "A Wavelet-Based Image Fusion Tutorial", Pattern Recognition 37 1855 – 1872, 2004
[12] A. A. Ursani, K. Kpalma, C. C. Lelong, J. Ronsin, "Fusion Of Textural And Spectral Information For Tree Crop And Other Agricultural Cover Mapping With Very-High Resolution Satellite Images", Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 5(1), 225- 235, 2012.
[13] J. J. Szymanskiand, P. G. Weber, “Multispectral Thermal Imager: Mission and Applications Overview.” IEEE Transactions on Geoscience and Remote Sensing 43(9): 2005.
[14] Z. Liu, E. Blasch, Statistical Analysis of the Performance Assessment Results for Pixel-Level Image Fusion. In Information Fusion (FUSION), 2014 17th International Conference on (pp. 1-8). IEEE 2014.
[15] T.-M Tu, S.-C Su, H.-C Shyu, and P. S. Huang, “A New Look At IHS-Like Image Fusion Methods,” Information Fusion, vol. 2, no. 3, pp.177-186, Sep. 2001.
[16] T. Stathaki, “Image Fusion: Algorithms and Applications”, Elsevier, First edition 2008.
[17] G. Asha, A. Philip, Pixel Level Satellite Image Fusion Using component Substitution Partial Replacement. International Journal of Computer Engineering Science, 1(3), 7-16, 2011.
[18] V. Ahirwar, H. Yadav, A. Jain, Hybrid Model For Preserving Brightness Over The Digital Image Processing. In Computer and Communication Technology (ICCCT), 4th International Conference on (pp. 48-53). IEEE 2013.
[19] Dongjie Tan1, Yi Liu2, Ruonan Hou2 and Bindang Xue2 1School of Aeronautics Science and Engineering, Beihang University, Beijing 100191, China 2School of Astronautics, Beihang University, Beijing 100191, China (2016)