LWIR and MWIR fusion algorithm comparison using image metrics

S. K. Chari; J. D. Fanning; S. M. Salem; A. L. Robinson; C. E. Halford

doi:10.1117/12.604418

12 May 2005 LWIR and MWIR fusion algorithm comparison using image metrics

S. K. Chari, J. D. Fanning, S. M. Salem, A. L. Robinson, C. E. Halford

Proceedings Volume 5784, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI; (2005) https://doi.org/10.1117/12.604418
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

This study determines the effectiveness of a number of image fusion algorithms through the use of the following image metrics: mutual information, fusion quality index, weighted fusion quality index, edge-dependent fusion quality index and Mannos-Sakrison’s filter. The results obtained from this study provide objective comparisons between the algorithms. It is postulated that multi-spectral sensors enhance the probability of target discrimination through the additional information available from the multiple bands. The results indicate that more information is present in the fused image than either single band image. The image quality metrics quantify the benefits of fusion of MWIR and LWIR imagery.

Citation Download Citation

S. K. Chari, J. D. Fanning, S. M. Salem, A. L. Robinson, and C. E. Halford "LWIR and MWIR fusion algorithm comparison using image metrics", Proc. SPIE 5784, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI, (12 May 2005); https://doi.org/10.1117/12.604418

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