Results 31 to 40 of about 18,640,676 (284)

Critical Review of Multi-focus Image Fusion Based on Deep Learning Method [PDF]

Jisuanji kexue yu tansuo
Multi-focus image fusion is an effective image fusion technology, which aims to combine source images from different focal planes of the same scene to obtain a good fusion result.
LI Ziqi, SU Yuxuan, SUN Jun, ZHANG Yonghong, XIA Qingfeng, YIN Hefeng
doaj   +1 more source

Multi-Focus Image Fusion Based on Residual Network in Non-Subsampled Shearlet Domain

IEEE Access, 2019
In order to obtain a panoramic image which is clearer, and has more layers and texture features, we propose an innovative multi-focus image fusion algorithm by combining with non-subsampled shearlet transform (NSST) and residual network (ResNet).
Shuaiqi Liu, Jie Wang, Yucong Lu, Shaohai Hu, Xiaole Ma, Yifei Wu   +5 more
doaj   +1 more source

GIPC-GAN: an end-to-end gradient and intensity joint proportional constraint generative adversarial network for multi-focus image fusion

Complex & Intelligent Systems, 2023
As for the problems of boundary blurring and information loss in the multi-focus image fusion method based on the generative decision maps, this paper proposes a new gradient-intensity joint proportional constraint generative adversarial network for ...
Junwu Li, Binhua Li, Yaoxi Jiang
doaj   +1 more source

Unsupervised Deep Multi-focus Image Fusion

CoRR, 2018
Convolutional neural networks have recently been used for multi-focus image fusion. However, due to the lack of labeled data for supervised training of such networks, existing methods have resorted to adding Gaussian blur in focused images to simulate defocus and generate synthetic training data with ground-truth for supervised learning. Moreover, they
Xiang Yan, Syed Zulqarnain Gilani, Hanlin Qin, Ajmal Mian   +3 more
openaire   +2 more sources

Fusion PSPnet Image Segmentation Based Method for Multi-Focus Image Fusion

IEEE Photonics Journal, 2019
To address the problem that the traditional multi-focus images fusion methods cannot fully use of spatial context information. A novel image segmentation method for multi-focus image fusion is proposed.
Jingchun Zhou, Mingliang Hao, Dehuan Zhang, Peiyu Zou, Weishi Zhang   +4 more
doaj   +1 more source

3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion

IEEE Access, 2021
Based on the analysis of the multi-scale-based and sparse representation-based multi-focus image fusion method, we believe that a multi-scale fusion method should consider the directivity of high/low frequency sub-bands and low computational complexity ...
Bingzhe Wei, Xiangchu Feng, Weiwei Wang
doaj   +1 more source

Fast Multi-Focus Image Fusion Using Inner Channel Prior

IEEE Access, 2021
In this paper, we propose a simple but effective sharpness prior—inner channel prior—to detect the focused area of multi-focus images. The inner channel prior is a kind of location feature of natural image sharpness.
Tingna Kuang, Feihong Yu, Xuxiang Ni
doaj   +1 more source

Multi-scale Multi-attention Network for Moiré Document Image Binarization

, 2021
In this paper, we propose a Multi-scale Multi-attention Network (MsMa-Net) to binarize document images contaminated by moiré patterns from camera-captured screens.
Ji, Caijuan, Luo, Xiangyang, Zheng, Xin, Guo, Yanqing, Wang, Qianyu   +4 more
core   +1 more source

Multi-focus image fusion for visual sensor networks [PDF]

2016 24th Iranian Conference on Electrical Engineering (ICEE), 2016
5 ...
Milad Abdollahzadeh, Touba Malekzadeh, Hadi Seyedarabi   +2 more
openaire   +3 more sources

Supporting Focus and Context Awareness in 3D Modelling Tasks Using Multi-Layered Displays [PDF]

, 2014
Most 3D modelling software have been developed for conventional 2D displays, and as such, lack support for true depth perception. This contributes to making polygonal 3D modelling tasks challenging, particularly when models are complex and consist of a ...
Rogers, Bill, Mohd Yusof, Azmi, Masoodian, Masood   +2 more
core   +1 more source