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International Journal for Multiscale Computational Engineering
Impact-faktor: 1.016 5-jähriger Impact-Faktor: 1.194 SJR: 0.554 SNIP: 0.68 CiteScore™: 1.18

ISSN Druckformat: 1543-1649
ISSN Online: 1940-4352

International Journal for Multiscale Computational Engineering

DOI: 10.1615/IntJMultCompEng.v8.i6.60
pages 631-640

Energy-Based Fusion Scheme for Surveillance and Navigation

S. Senthil Kumar
Research Scholar, Anna University Chennai, Department of Electronics and Communication Engineering, Anna University, Chennai 600025, India
S. Muttan
Professor, Anna University Chennai, Department of Electronics and Communication Engineering, Anna University, Chennai 600025, India
K. Mahesh Bharath
St. Joseph’s College of Engineering Chennai, Department of Electronics and Communication Engineering, St. Joseph’s College of Engineering, Chennai 600119, India


Image fusion is used to integrate multiple images into a composite image which contains complementary information from each of the source images. In defense applications, fusion is widely employed to obtain images pertaining to the object under surveillance and also for mapping terrain for navigation purposes. Although there are a many fusion algorithms reported in the literature, the need is for a computationally efficient fusion rule that can be implemented easily in hardware. Driven by this motivation we have formulated a discrete wavelet transform{based fusion technique that uses the energy of the wavelet coefficients to determine the fusion weights for the approximate image and choose maximum intensity rule for the detail image. Surveillance imaging generally uses two imaging sources, one an infrared camera and the other a conventional digital camera, and the images are usually captured under low lighting and night-time conditions. We used the structural similarity index, mutual information, and standard deviation as metrics to evaluate the performance of our fusion scheme with existing algorithms. Our experiments have shown that the algorithm developed produces good results under the constraints imposed by this application.


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