Enhanced Image Fusion Algorithm with Neural Networks for Sonar Images
K.S. Jeen Marseline1, C.Meena2
1Mrs K.S. Jeen Marseline, Assistant Professor, Sri Krishna Arts & Science College, Coimbatore.
2Dr. C. Meena, Center Head, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore.
Manuscript received on July 25, 2013. | Revised Manuscript received on August 16, 2013. | Manuscript published on August 30, 2013. | PP: 79-82 | Volume-2, Issue-6, August 2013. | Retrieval Number: F1935082613/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper proposes a simple neural network based image fusion algorithm. Image fusion is defined as a process where a new image is constructed by integrating complementary, multi-temporal or multi-view information from a set of source images. Particle swarm Optimization (PSO) is used to find out the optimal size of the blocks to be fused. A detailed experimentation is done with different performance metrics for different set of images. We have compared the results and the proposed method outperforms the existing methods visually as well as quantitatively.
Keywords: PSO, Optimal, Multi-temporal, Multi-view.