Infrared and visible image fusion based on particle swarm optimization and dense block

HIGHLIGHTS

  • who: Methods and collaborators from the Northeastern University, China have published the article: Infrared and visible image fusion based on particle swarm optimization and dense block, in the Journal: (JOURNAL)
  • what: In the work of_(Liu et_al, 2015), this issue is addressed by using a general image fusion framework in which multi-scale transform is used for decomposition and reconstruction. TNO database is used in this work, and four example images numbered as (a, b, c, d) are shown in Figure 3. In the experiments , the authors compare the proposed method with several typical fusion . . .

     

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