Research on the Compression Algorithm of the Infrared Thermal Image Sequence Based on Differential Evolution and Double Exponential Decay Model

Research on the Compression Algorithm of the Infrared Thermal Image Sequence Based on Differential Evolution and Double Exponential Decay Model

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...

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Main Authors: Jin-Yu Zhang, Xiang-Bing Meng, Wei Xu, Wei Zhang, Yong Zhang
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/601506
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spelling doaj-14a2acf793264100bb8832b3609185172020-11-25T00:50:43ZengHindawi LimitedThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/601506601506Research on the Compression Algorithm of the Infrared Thermal Image Sequence Based on Differential Evolution and Double Exponential Decay ModelJin-Yu Zhang0Xiang-Bing Meng1Wei Xu2Wei Zhang3Yong Zhang4Xi’an Research Institute of High-Tech, 2 Tongxin Road, Xi’an, Shaanxi 710025, ChinaXi’an Research Institute of High-Tech, 2 Tongxin Road, Xi’an, Shaanxi 710025, ChinaKeppel Offshore & Marine Technology Centre Pte Ltd, 31 Shipyard Road, 628130, SingaporeXi’an Research Institute of High-Tech, 2 Tongxin Road, Xi’an, Shaanxi 710025, ChinaXi’an Research Institute of High-Tech, 2 Tongxin Road, Xi’an, Shaanxi 710025, ChinaThis 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.http://dx.doi.org/10.1155/2014/601506
collection DOAJ
language English
format Article
sources DOAJ
author Jin-Yu Zhang
Xiang-Bing Meng
Wei Xu
Wei Zhang
Yong Zhang
spellingShingle Jin-Yu Zhang
Xiang-Bing Meng
Wei Xu
Wei Zhang
Yong Zhang
Research on the Compression Algorithm of the Infrared Thermal Image Sequence Based on Differential Evolution and Double Exponential Decay Model
The Scientific World Journal
author_facet Jin-Yu Zhang
Xiang-Bing Meng
Wei Xu
Wei Zhang
Yong Zhang
author_sort Jin-Yu Zhang
title Research on the Compression Algorithm of the Infrared Thermal Image Sequence Based on Differential Evolution and Double Exponential Decay Model
title_short Research on the Compression Algorithm of the Infrared Thermal Image Sequence Based on Differential Evolution and Double Exponential Decay Model
title_full Research on the Compression Algorithm of the Infrared Thermal Image Sequence Based on Differential Evolution and Double Exponential Decay Model
title_fullStr Research on the Compression Algorithm of the Infrared Thermal Image Sequence Based on Differential Evolution and Double Exponential Decay Model
title_full_unstemmed Research on the Compression Algorithm of the Infrared Thermal Image Sequence Based on Differential Evolution and Double Exponential Decay Model
title_sort research on the compression algorithm of the infrared thermal image sequence based on differential evolution and double exponential decay model
publisher Hindawi Limited
series The Scientific World Journal
issn 2356-6140
1537-744X
publishDate 2014-01-01
description 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.
url http://dx.doi.org/10.1155/2014/601506
work_keys_str_mv AT jinyuzhang researchonthecompressionalgorithmoftheinfraredthermalimagesequencebasedondifferentialevolutionanddoubleexponentialdecaymodel
AT xiangbingmeng researchonthecompressionalgorithmoftheinfraredthermalimagesequencebasedondifferentialevolutionanddoubleexponentialdecaymodel
AT weixu researchonthecompressionalgorithmoftheinfraredthermalimagesequencebasedondifferentialevolutionanddoubleexponentialdecaymodel
AT weizhang researchonthecompressionalgorithmoftheinfraredthermalimagesequencebasedondifferentialevolutionanddoubleexponentialdecaymodel
AT yongzhang researchonthecompressionalgorithmoftheinfraredthermalimagesequencebasedondifferentialevolutionanddoubleexponentialdecaymodel
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