可见光与红外光图像融合(Visible and infrared image fusion ,VIF)可以应用在目标检测及跟踪、场景分割以及人群技术等任务。 除了传统方法外,近年来还提出了以下方法: CNN AE(AutoEncoder) GAN transformer 综述详细的分析了动机、分类、近期发展特征、数据集、性能评估方法以及未来前景 Index Terms Deep learning image...
Infrared and visible image fusion via detail preserving adversarial learning DetailGAN: 通过细节保留对抗性学习实现红外和可见光图像融合 研究背景 现有的方法通常选择源图像的相同显著特征,例如边缘和线条,以集成到融合图像中,使得融合图像包含更多的细节信息。然而,上述方法可能不适用于红外和可见光图像融合。特别地,...
何伟基南京理工大学电子工程与光电技术学院顾国华南京理工大学电子工程与光电技术学院童涛空军航空大学航空航天情报系红外与激光工程Peng Yiyue, He Weiji, Gu Guohua, et al. Visible and infrared image fusion based on multi -level method and image contrast improvement [ J ] . Infrared and Laser Engineering...
第三个第四个分别是相互一致性损失和光照平滑度损失,指导SIDNet从混合特征生成退化照明分量。最后一个是感知损失(知觉损失),它约束增强可见特征的生成。 针对TCEFNet提出一种增强-融合损失函数, 第一个是纹理损失,旨在让融合图像获得更多的细节信息从源图像。第二个是强度损失,它约束融合图像保留红外图像中重要的目标...
2.1. Infrared and visible image fusion(以总分的方式介绍传统方法) 2.2. Deep learning based image fusion(列举方法,说明存在问题) 2.3. Generative adversarial networks and its variants(由弱到强叙述了GAN的三个工作) 2.3.1. Generative adversarial networks(GAN的首创) ...
Keywords-image fusion; visible image; infrared image; double NSCT I.I NTRODUCTION Image fusion certainly is an important research focus in image processing, pattern recognition and computer vision, which integrates the different information from two or more images which acquired by one sensor at ...
aHow do I address you? 我怎么对您演讲?[translate] aInfrared and Visible Image Fusion Using Entropy and Neuro-Fuzzy Concepts 红外和可见像融合使用熵和神经模糊的概念[translate]
Wavelet-Based Visible and Infrared Image Fusion: A Comparative Study Waveletbased visible and infrared image fusion:A comparative study. Sappa A D,Carvajal J A,Aguilera C A,et al. Sensors . 2016... S Angel,C Juan,A Cristhian,... - 《Sensors》 被引量: 4发表: 2016年 Infrared and ...
The most fundamental purpose of infrared (IR) and visible (VI) image fusion is to integrate the useful information and produce a new image which has higher reliability and understandability for human or computer vision. In order to better preserve the interesting region and its corresponding detail...
Image fusion图像融合 Illumination aware光照感知 Cross-modality differential aware fusion跨模态差分感知融合 Deep learning 深度学习 Introduction 单模态图像不能充分全面描绘场景信息,因此融合使用多模态传感器采集的图像有重要意义。图像融合可以分为多模态融合及数字图像融合。 多模态融合中红外与可见光图像融合在军事、...