caa a22 4500 606209859 CHVBK 20210128101030.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s11220-015-0106-3 doi (NATIONALLICENCE)springer-10.1007/s11220-015-0106-3 Multi-Focus Image Fusion Based on NSCT and NSST [Elektronische Daten] [Altan-Ulzii Moonon, Jianwen Hu] In this paper, a multi-focus image fusion algorithm based on the nonsubsampled contourlet transform (NSCT) and the nonsubsampled shearlet transform (NSST) is proposed. The source images are first decomposed by the NSCT and NSST into low frequency coefficients and high frequency coefficients. Then, the average method is used to fuse low frequency coefficient of the NSCT. To obtain more accurate salience measurement, the high frequency coefficients of the NSST and NSCT are combined to measure salience. The high frequency coefficients of the NSCT with larger salience are selected as fused high frequency coefficients. Finally, the fused image is reconstructed by the inverse NSCT. We adopt three metrics (Q AB/F , Q e and Q w ) to evaluate the quality of fused images. The experimental results demonstrate that the proposed method outperforms other methods. It retains highly detailed edges and contours. Springer Science+Business Media New York, 2015 Multi-focus image fusion nationallicence Nonsubsampled contourlet transform nationallicence Nonsubsampled shearlet transform nationallicence Low frequency coefficient nationallicence High frequency coefficient nationallicence Moonon Altan-Ulzii College of Electrical and Information Engineering, Hunan University, 410082, Changsha, People's Republic of China aut Hu Jianwen College of Electrical and Information Engineering, Changsha University of Science and Technology, 410114, Changsha, People's Republic of China aut Sensing and Imaging Springer US; http://www.springer-ny.com 16/1(2015-12-01), 1-16 1557-2064 16:1<1 2015 16 11220 https://doi.org/10.1007/s11220-015-0106-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11220-015-0106-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Moonon Altan-Ulzii College of Electrical and Information Engineering, Hunan University, 410082, Changsha, People's Republic of China aut NATIONALLICENCE 700 1- Hu Jianwen College of Electrical and Information Engineering, Changsha University of Science and Technology, 410114, Changsha, People's Republic of China aut NATIONALLICENCE 773 0- Sensing and Imaging Springer US; http://www.springer-ny.com 16/1(2015-12-01), 1-16 1557-2064 16:1<1 2015 16 11220