no code implementations • 21 Sep 2020 • Yicheng Wang, Shuang Xu, Junmin Liu, Zixiang Zhao, Chun-Xia Zhang, Jiangshe Zhang
Multi-Focus Image Fusion (MFIF) is a promising image enhancement technique to obtain all-in-focus images meeting visual needs and it is a precondition of other computer vision tasks.
2 code implementations • 18 May 2020 • Shuang Xu, Zixiang Zhao, Yicheng Wang, Chun-Xia Zhang, Junmin Liu, Jiangshe Zhang
Image fusion is a significant problem in many fields including digital photography, computational imaging and remote sensing, to name but a few.
Infrared And Visible Image Fusion Multi-Exposure Image Fusion
2 code implementations • 12 May 2020 • Zixiang Zhao, Shuang Xu, Chun-Xia Zhang, Junmin Liu, Jiangshe Zhang
In this paper, a novel Bayesian fusion model is established for infrared and visible images.
2 code implementations • 20 Mar 2020 • Zixiang Zhao, Shuang Xu, Chun-Xia Zhang, Junmin Liu, Pengfei Li, Jiangshe Zhang
Infrared and visible image fusion, a hot topic in the field of image processing, aims at obtaining fused images keeping the advantages of source images.
Ranked #5 on Semantic Segmentation on FMB Dataset
1 code implementation • 1 Jan 2019 • Shuang Xu, Chun-Xia Zhang, Jiangshe Zhang
By assuming noise to come from a Gaussian, Laplace or mixture of Gaussian distributions, significant efforts have been made on optimizing the (weighted) $L_1$ or $L_2$-norm loss between an observed matrix and its bilinear factorization.
1 code implementation • 11 Dec 2018 • Shuang Xu, Chun-Xia Zhang, Pei Wang, Jiangshe Zhang
Complex network reconstruction is a hot topic in many fields.