Results 1 to 10 of about 7,105,979 (365)

Semantic-Supervised Infrared and Visible Image Fusion Via a Dual-Discriminator Generative Adversarial Network

IEEE transactions on multimedia, 2023
Image fusion synthesizes a new image from multiple images of the same scene. The synthesized image should be suitable for human visual perception and follow-up high-level image-processing tasks.
Huabing Zhou, Wei Wu, Yanduo Zhang, Jiayi Ma, Haibin Ling   +4 more
semanticscholar   +1 more source

MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding from Object Detection

Computer Vision and Pattern Recognition, 2023
Fusing infrared and visible images can provide more texture details for subsequent object detection task. Conversely, detection task furnishes object semantic information to improve the infrared and visible image fusion.
Wenda Zhao, Shigeng Xie, F. Zhao, You He, Huchuan Lu   +4 more
semanticscholar   +1 more source

IFSepR: A General Framework for Image Fusion Based on Separate Representation Learning

IEEE transactions on multimedia, 2023
This paper proposes an image fusion framework based on separate representation learning, called IFSepR. We believe that both the co-modal image and the multi-modal image have common and private features based on prior knowledge, exploiting this ...
Xiaoqing Luo, Yuanhao Gao, Anqi Wang, Zhancheng Zhang, Xiaojun Wu   +4 more
semanticscholar   +1 more source

Infrared and Visible Image Fusion via Decoupling Network

IEEE Transactions on Instrumentation and Measurement, 2022
In general, the goal of the existing infrared and visible image fusion (IVIF) methods is to make the fused image contain both the high-contrast regions of the infrared image and the texture details of the visible image.
Xue Wang, Zheng Guan, Shishuang Yu, Jinde Cao, Ya Li   +4 more
semanticscholar   +1 more source

MATR: Multimodal Medical Image Fusion via Multiscale Adaptive Transformer

IEEE Transactions on Image Processing, 2022
Owing to the limitations of imaging sensors, it is challenging to obtain a medical image that simultaneously contains functional metabolic information and structural tissue details.
Wei Tang, Fazhi He, Y. Liu, Y. Duan
semanticscholar   +1 more source

STDFusionNet: An Infrared and Visible Image Fusion Network Based on Salient Target Detection

IEEE Transactions on Instrumentation and Measurement, 2021
In this article, we propose an infrared and visible image fusion network based on the salient target detection, termed STDFusionNet, which can preserve the thermal targets in infrared images and the texture structures in visible images.
Jiayi Ma, Linfeng Tang, Meilong Xu, Hao Zhang, Guobao Xiao   +4 more
semanticscholar   +1 more source

Learning a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion

IEEE transactions on circuits and systems for video technology (Print), 2021
Image fusion integrates a series of images acquired from different sensors, e.g., infrared and visible, outputting an image with richer information than either one.
Jinyuan Liu, Xin Fan, Ji Jiang, Risheng Liu, Zhongxuan Luo   +4 more
semanticscholar   +1 more source

Cross-Modal Transformers for Infrared and Visible Image Fusion

IEEE transactions on circuits and systems for video technology (Print)
Image fusion techniques aim to generate more informative images by merging multiple images of different modalities with complementary information. Despite significant fusion performance improvements of recent learning-based approaches, most fusion ...
Seonghyun Park, An Gia Vien, Chul Lee
semanticscholar   +1 more source

AttentionFGAN: Infrared and Visible Image Fusion Using Attention-Based Generative Adversarial Networks

IEEE transactions on multimedia, 2021
Infrared and visible image fusion aims to describe the same scene from different aspects by combining complementary information of multi-modality images.
Jing Li, Hongtao Huo, Chang Li, Renhua Wang, Qi Feng   +4 more
semanticscholar   +1 more source

CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image Fusion

International Journal of Computer Vision, 2022
Infrared and visible image fusion targets to provide an informative image by combining complementary information from different sensors. Existing learning-based fusion approaches attempt to construct various loss functions to preserve complementary ...
Jinyuan Liu, Runji Lin, Guanyao Wu, Risheng Liu, Zhongxuan Luo, Xin Fan   +5 more
semanticscholar   +1 more source