SDNet: A Versatile Squeeze-and-Decomposition Network for Real-Time Image Fusion

In this paper, a squeeze-and-decomposition network (SDNet) is proposed to realize multi-modal and digital photography image fusion in real time. Firstly, we generally transform multiple fusion problems into the extraction and reconstruction of gradient and intensity information, and design a univers...

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Bibliographic Details
Published in:	International journal of computer vision Vol. 129; no. 10; pp. 2761 - 2785
Main Authors:	Zhang, Hao, Ma, Jiayi
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.10.2021 Springer Springer Nature B.V
Subjects:	Artificial Intelligence Computer Imaging Computer Science Computer vision Decomposition Digital imaging Digital photography Image processing Image Processing and Computer Vision Image quality Optimization Pattern Recognition Pattern Recognition and Graphics Real time Texture Vision Visual effects Squeeze decomposition Adaptive Real time Proportion Image fusion
ISSN:	0920-5691, 1573-1405
Online Access:	Get full text
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