Multimodal medical image fusion with convolution sparse representation and mutual information correlation in NSST domain

Abstract Multimodal medical image is an effective method to solve a series of clinical problems, such as clinical diagnosis and postoperative treatment. In this study, a medical image fusion method based on convolutional sparse representation (CSR) and mutual information correlation is proposed. In...

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Bibliographic Details
Main Authors: Peng Guo, Guoqi Xie, Renfa Li, Hui Hu
Format: Article
Language:English
Published: Springer 2022-06-01
Series:Complex & Intelligent Systems
Subjects:
Online Access:https://doi.org/10.1007/s40747-022-00792-9