Infrared and Laser Engineering, Volume. 51, Issue 4, 20210996(2022)
Image fusion algorithm based on improved PCNN and average energy contrast
Figures & Tables(7)
Fig. 4. Fusion results of the same algorithm in different transform domains
Fig. 5. Fusion results of different algorithms in different transform domains
Table 1. Results of objective indicators and running time
View tableView in ArticleTable 1. Results of objective indicators and running time
Objective indicators DWT NSCT NSST FDST EN 6.549 6.703 6.885 6.926 MI 1.891 1.929 1.977 2.154 QAB/F 0.502 0.543 0.569 0.5804 AG 13.655 13.748 13.926 14.351 Running time/s 4.512 4.987 4.724 4.173
Table 2. Results of objective indicators and running time
View tableView in ArticleTable 2. Results of objective indicators and running time
Objective indicators Ref. [14] Ref. [16] Ref. [20] Proposed method EN 6.815 6.980 7.103 7.278 MI 1.996 2.172 2.284 2.392 QAB/F 0.589 0.595 0.608 0.633 AG 14.927 15.114 15.453 15.846 Running time/s 4.957 5.869 5.651 4.782
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Hongxia Gao, Tao Wei. Image fusion algorithm based on improved PCNN and average energy contrast[J]. Infrared and Laser Engineering, 2022, 51(4): 20210996
Paper Information
Category: Image processing
Received: Dec. 21, 2021
Accepted: Jan. 13, 2022
Published Online: May. 18, 2022
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