An Enhanced Version of Combination of Multifocus Image Using Alpha Factor
DOI:
https://doi.org/10.26438/ijcse/v5i8.136140Keywords:
Image fusion, PCA, Pixel level transform, alpha factorAbstract
Right and high quality image makes a huge difference, whether it can be any field of digital image processing. It is often not possible to get an image that contains every object in focus. To obtain an image that contains every object in focus a Multifocus image fusion process is required. In the process of image fusion good information from each of the given image is fused together to form a resultant image whose quality is far better than the any of the Multifocus input image. In this paper we proposed an algorithm which is the enhanced version of the existing algorithm. We utilize the concept of alpha factor and we vary the values of alpha factor according to our requirement. The proposed method is also compared with different methods. It is observed that proposed method preserves more information compared to earlier methods. It evaluates the performance of each algorithm with Matlab 2012a .We evaluate the algorithm by using performance parameter peak signal to noise ratio and the mean square error value
References
. M. Sumathi, R. Barani “Qualitative Evaluation of Pixel Level Image Fusion Algorithms” IEEE transaction on Pattern Recognition, Informatics and Medical Engineering, March23, 2012.
. V.K. Mishra, S. Kumar, C. Singh, "Implementation and Comparison of Image Fusion using Discrete Wavelet Transform and Principal Component Analysis", International Journal of Computer Sciences and Engineering, Vol.2, Issue.3, pp.174-181, 2014.
. V.K. Mishra, S. Kumar, R.K. Gupta, "Design and Implementation of Image Fusion System", International Journal of Computer Sciences and Engineering, Vol.2, Issue.3, pp.182-186, 2014.
. V.P.S. Naidu and J.R. Raol, “Pixel-level Image Fusion using Wavelets and Principal Component Analysis”. Defense Science Journal, Vol. 58, No. 3, May 2008, pp. 338-352 Ó 2008, DESIDOC.
. Deepali A. Godse, Dattatraya S. Bormane, “Wavelet based image fusion using pixel based maximum selection rule” International Journal of Engineering Science and Technology (IJEST), Vol. 3 No. 7 July 2011, ISSN: 0975-5462.
. J. Lewis, R O’Callaghan, S. Nikolov, D. Bull, and C. Canagarajah. “Region-based image fusion using complex wavelets”. In Seventh International Conference on Information Fusion (FUSION), volume 1, pages 555–562, 2004. 2, 3.2, 5.
. Xydeas, C., and Petrovic, V., “Objective Pixel-level Image Fusion Performance Measure”, Sensor Fusion: Architectures, Algorithms, and Applications IV, SPIE 4051:89-98, 2000.
. Lau Wai Leung, Bruce King and Vijay Vohora,” Comparison of Image Fusion Techniques using Entropy and INI”, In: Pro. 22nd Asian Conference on Remote Sensing, 5-9 Nov 2001.
. Zhao Zong-gui, “An Introduction to Data Fusion Method”, First press. 28th Institute of Electricity Ministry, 1998.
. Sascha Klonus and Manfred Ehlers,” Performance of evaluation methods in image fusion”, 12th International Conference on Information Fusion, Vol. 16,pp. 1409-1416,July 6-9, 2009.
. C. Pohl and J. L. Van genderen, “Multisensor image fusion in remote sensing: concepts, methods and applications”, int. j. remote sensing, 1998, vol. 19, no. 5, 823- 854.
. Patil, Ujwala, and Uma Mudengudi, "Image fusion using hierarchical PCA", In image Information Processing (ICIIP), 2011 International Conference on, pp. 1-6. IEEE, 2011.
. A. Soma Sekhar, Dr.M.N.Giri Prasad, “A Novel Approach Of Image Fusion On MR And CT Images Using Wavelet Transforms”, IEEE Trans. on Image Proc., pp. 172-176. IEEE, 2011.
. Ramesh, T. Ranjith," Fusion Performance Measures and a Lifting wavelet Transform based algorithm for image Fusion", Proceedings of International Conference on Information Fusion, pp. 317-320, July 2002.
. Kiran Parmar, Rahul Kher, “A Comparative Analysis of Multimodality Medical Image Fusion Methods”, In Sixth Asia Modelling Symposium, 2012 International Conference on, pp. 93-97. IEEE, 2012.
. Desale, Rajenda Pandit, and Sarita V. Verma, “Study and analysis of PCA, DCT & DWT based image fusion techniques", In Signal Processing Image Processing and Pattern Recognition (ICSIPR), 2013 International Conference on, pp. 66-69. IEEE, 2013
. S.K. Rogers, C.W. Tong, M. Kabrisky, J.P. Mills, “Multisensor fusion of ladar and passive infrared imagery for target segmentation”, Optical Engineering, Vol.28, Issue.8, pp.881–886, 1989.
. L.J. Chipman, Y.M. Orr, L.N. Graham, “Wavelets and image fusion”, in: Proceedings of the International Conference on Image Processing, Washington, USA, 1995, pp. 248–251.
. Koren, I., Laine, A., Taylor, F., “Image fusion using steerable dyadic wavelet”, In: Proceedings of the International Conference on Image Processing, Washington, USA, 1995. pp. 232–235.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
