TY - GEN
T1 - A method of dual-band infrared images fusion based on Gradeint pyramid decomposition
AU - Qu, Xiujie
AU - Zhang, Fu
AU - Zhang, Ying
AU - Tang, Li
PY - 2012
Y1 - 2012
N2 - Recently, infrared thermal imager has been widely used in the fields of missile guidance and flaw detection and so on. Among them, the advanced one adopts sensors of dual bands to identify the target. Since of that, there is an urgent need of a fusion of the dual-bands images. The fused result includes much more exhaustive information than any single one, and can better reflect the actual. Among the algorithms used to fuse the dual-band infrared images, the weighted algorithm is the most widely used and easiest to be achieved. Nonetheless, its effect is not desired. To get a better result, in this paper, the fusion strategy based on the Gradient pyramid transform has been mainly adopted to fuse the dual-band infrared images on the pixel-level. Meanwhile, there is a comparison with the weighted algorithm and the Contrast pyramid algorithm. Also, it makes an evaluation and analysis to the experimental data, and finally obtains the desired results.
AB - Recently, infrared thermal imager has been widely used in the fields of missile guidance and flaw detection and so on. Among them, the advanced one adopts sensors of dual bands to identify the target. Since of that, there is an urgent need of a fusion of the dual-bands images. The fused result includes much more exhaustive information than any single one, and can better reflect the actual. Among the algorithms used to fuse the dual-band infrared images, the weighted algorithm is the most widely used and easiest to be achieved. Nonetheless, its effect is not desired. To get a better result, in this paper, the fusion strategy based on the Gradient pyramid transform has been mainly adopted to fuse the dual-band infrared images on the pixel-level. Meanwhile, there is a comparison with the weighted algorithm and the Contrast pyramid algorithm. Also, it makes an evaluation and analysis to the experimental data, and finally obtains the desired results.
KW - Gradient pyramid decomposition
KW - Image fusion
KW - Image reconstruction
KW - Infrared imaging
UR - http://www.scopus.com/inward/record.url?scp=84894564036&partnerID=8YFLogxK
U2 - 10.1049/cp.2012.2264
DO - 10.1049/cp.2012.2264
M3 - Conference contribution
AN - SCOPUS:84894564036
SN - 9781849196413
T3 - IET Conference Publications
BT - IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012
T2 - IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012
Y2 - 7 December 2012 through 9 December 2012
ER -