Research on the compression algorithm of the infrared thermal image sequence based on differential evolution and double exponential decay model.


Zhang, JY; Meng, XB; Xu, W; Zhang, W; Zhang, Y; (2014) Research on the compression algorithm of the infrared thermal image sequence based on differential evolution and double exponential decay model. TheScientificWorldJournal, 2014. p. 601506. ISSN 2356-6140 DOI: https://doi.org/10.1155/2014/601506

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Abstract

This paper has proposed a new thermal wave image sequence compression algorithm by combining double exponential decay fitting model and differential evolution algorithm. This study benchmarked fitting compression results and precision of the proposed method was benchmarked to that of the traditional methods via experiment; it investigated the fitting compression performance under the long time series and improved model and validated the algorithm by practical thermal image sequence compression and reconstruction. The results show that the proposed algorithm is a fast and highly precise infrared image data processing method.

Item Type: Article
Faculty and Department: Faculty of Infectious and Tropical Diseases > Dept of Immunology and Infection
PubMed ID: 24696649
Web of Science ID: 331894300001
URI: http://researchonline.lshtm.ac.uk/id/eprint/1635612

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