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Deep back-projection networks have excellent performance in the super-resolution reconstruction of visual images. This paper explores the application of deep back-projection networks to the super-resolution reconstruction of infrared images. In view of the characteristics of low infrared image contrast and low image quality, the following improvements were made in the framework of the deep back-projection network: adding a concatenation layer before the upsampling module, cascading the previousdoi:10.3724/sp.j.7102910263 fatcat:ppuncxmg2jczjbz5672ipzd5fy