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 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.
Xi'an Research Institute of High-Tech, 2 Tongxin Road, Xi'an, Shaanxi 710025, China.
Jin-Yu
JY
Zhang
Xi'an Research Institute of High-Tech, 2 Tongxin Road, Xi'an, Shaanxi 710025, China.
Xiang-Bing
XB
Meng
Keppel Offshore & Marine Technology Centre Pte Ltd, 31 Shipyard Road, Singapore 628130.
Wei
W
Xu
Xi'an Research Institute of High-Tech, 2 Tongxin Road, Xi'an, Shaanxi 710025, China.
Wei
W
Zhang
Xi'an Research Institute of High-Tech, 2 Tongxin Road, Xi'an, Shaanxi 710025, China.
Yong
Y
Zhang
D000465:Algorithms; D044962:Data Compression / Q000379:methods*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007259:Infrared Rays; D013382:Subtraction Technique; D013817:Thermography / Q000379:methods*