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Proceedings Paper

A robust algorithm for compression and reconstruction of infrared thermal image sequence
Author(s): Jin-Yu Zhang; Yong-Chao Ma; Sheng-Jie Tao; Yin Li
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Paper Abstract

Quickly and accurately processing and saving high resolution thermal image sequences is a key technique in the field of thermal wave nondestructive testing. Based on the theory of thermal wave attenuation, this paper proposed a simple, fast and anti-noise global compression and reconstruction algorithm and showed the ability to improve the reliability and speed. Firstly the new algorithm divides the thermal image spatially and classifies thermal sequence. Then each curve in different temperature drop periods was fitted and lastly the compression and reconstruction of thermal sequence is fulfilled simultaneously in space and time by using the typical classified curve parameters as the compression and reconstruction parameters of thermal sequence. To verify the effect of the new algorithm, the experiment and comparison were carried out. The results show that the algorithm is a rapid, accurate and reliable. Compared with the current fitting compression method, it not only has a strong compression and anti-noise ability but also improve the operation speed up to hundreds of thousands of times.

Paper Details

Date Published: 29 August 2016
PDF: 5 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100333E (29 August 2016); doi: 10.1117/12.2244463
Show Author Affiliations
Jin-Yu Zhang, Xi'an Research Institute of High Technology (China)
Yong-Chao Ma, Xi'an Research Institute of High Technology (China)
Sheng-Jie Tao, Xi'an Research Institute of High Technology (China)
Yin Li, Xi'an Research Institute of High Technology (China)


Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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