Visible light and infrared image fusion method based on structure group double sparse learning

• Main Authors: WANG ZHISHE, WU YUANYUAN, WANG JUNYAO, JIANG XIAOLIN
• Format: Patent
• Language: Chinese; English
• Published: 28.04.2020
• Subjects: CALCULATING; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention relates to a visible light and infrared image fusion method based on structure group double sparse learning. The method comprises the following steps: (1) carrying out sliding window processing on input visible light and infrared images, searching similar blocks of original image blocks, carrying out group vectorization, and establishing an image similar structure group matrix; (2) taking the image similar structure group matrix as a training sample, forming a base dictionary by utilizing a Kronecker product of shear wavelets, obtaining a sparse dictionary through online learning, and performing linear reconstruction on the base dictionary and the sparse dictionary to obtain a final double sparse dictionary; and (3) in combination with the double sparse dictionaries, performing group sparse solution on the image similar structure group by adopting SOMP to obtain a group sparse coefficient, and obtaining a final fused image through image reconstruction by adopting a maximum fusion rule. The metho