A two-to-one deep learning general framework for image fusion

HIGHLIGHTS

• who: Pan Zhu and collaborators from the Key Laboratory of Metallurgical Equipment and Control, Ministry of Education, University of Science and, China have published the research: A Two-To-One Deep Learning General Framework for Image Fusion, in the Journal: (JOURNAL)
• what: In this paper, a general CNN framework for image fusion, called IY-Net, is designed. The proposed model aims to form a fused image by regression of two input images. In this paper, the proposed model is compared with traditional multi-scale transform algorithms, i. e., discrete wavelet transforms (DWT) (Zheng et_al, 2007 . . .
  

   

  

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