DJUHNet: A deep representation learning-based scheme for the task of joint image upsampling and hashing

Alireza Esmaeilzehi, Morteza Mirzaei, Hossein Zaredar, Dimitrios Hatzinakos, M. Omair Ahmad

Abstract: Highlights•A novel deep image hashing network for retrieving low-resolution images has been proposed.•The proposed scheme uses representation learning in order to retrieve the low-quality images efficiently.•The training process of the proposed scheme involves three stages in order to provide superior performances.