10,280 Hits in 4.9 sec

Fusion of Infrared and Visible Images for Surveillance Applications using Ann

Bhavatharane K, Minal Moharir
2021 International Journal of Engineering and Advanced Technology  
Edge preserving filters were used to Multi-Scale Decomposition (MSD) for fusion of visible and infrared images.  ...  This work proposes ANN based fusion algorithm for fusing visible and infrared images and obtains better performance by reducing the complexity.  ...  This work proposes ANN based fusion algorithm for fusing visible and infrared images and obtains better performance by reducing the complexity.  ... 
doi:10.35940/ijeat.e2755.0610521 fatcat:3eqiyxpthjeeha6hehec3ktku4

Siamese Infrared and Visible Light Fusion Network for RGB-T Tracking [article]

Peng Jingchao, Zhao Haitao, Hu Zhengwei, Zhuang Yi, Wang Bofan
2021 arXiv   pre-print
This paper proposes a siamese infrared and visible light fusion Network (SiamIVFN) for RBG-T image-based tracking.  ...  CFFN utilizes a two-stream multilayer convolutional structure whose filters for each layer are partially coupled to fuse the features extracted from infrared images and visible light images.  ...  The existing fusion tracking based on infrared and visible light images (or so-called RGB-T fusion tracking) methods focuses on supplementing thermal information to assistant visible-light-image-based  ... 
arXiv:2103.07302v1 fatcat:w5cm5lqbtvhmxh7j7uuec6sagi

SiamFT: An RGB-infrared Fusion Tracking Method via Fully Convolutional Siamese Networks

Xingchen Zhang, Ping Ye, Shengyun Peng, Jun Liu, Ke Gong, Gang Xiao
2019 IEEE Access  
Due to the complementary features of visible and infrared images, RGB-infrared fusion tracking has attracted widespread attention recently.  ...  Visible and infrared images are firstly processed by two Siamese Networks, namely visible network and infrared network, respectively.  ...  Attribute information included in experiments. of multimodal information fusion, ECO and C-COT only run with visible images.  ... 
doi:10.1109/access.2019.2936914 fatcat:omwrcx62wvbs7oao7fgvnvvy3i

FSADFuse: A novel fusion approach to infrared and visible images

Shuai Hao, Beiyi An, Tian He, Xu Ma, Hu Wen, Feng Wang
2021 IEEE Access  
(d)high-resolution infrared image base layer. (e)high-resolution infrared image detail layer. (f)visible image base layer. (g)visible image detail layer. (h)base layer of fusion.  ...  Based on these considerations, we propose a novel infrared and visible image fusion approach, namely FSRCNN and Anisotropic diffusion-based Fusion method (FSADFuse).  ...  His research interests include remote sensing image change detection, deep learning, image fusion.  ... 
doi:10.1109/access.2021.3119347 fatcat:2yad345lhfhfjdq2cbnu7jfdoi

Infrared and Visible Image Fusion Based on Non-subsampled Shearlet Transform, Regional Energy and Co-occurrence Filtering

Shuang Zhang, Feng Liu
2020 Electronics Letters  
The fusion of infrared and visible images has been playing an important role in various scenarios all over the world.  ...  In this Letter, a new fusion method of the infrared and visible image is rendered. In this method, the infrared image is preprocessed to improve the contrast.  ...  Image fusion methods based on the transform domain are a hot research topic on the fusion of the infrared and visible images, as they significantly over-perform in the resulted image contrast and details  ... 
doi:10.1049/el.2020.0557 fatcat:hrtt6ssseba73n4q4lxcrxagaa

Visible and Near Infrared Image Fusion Based on Texture Information [article]

Guanyu Zhang, Beichen Sun, Yuehan Qi, Yang Liu
2022 arXiv   pre-print
In this paper, a novel visible and near-infrared fusion method based on texture information is proposed to enhance unstructured environmental images.  ...  It aims at the problems of artifact, information loss and noise in traditional visible and near infrared image fusion methods.  ...  We choose the filter based on RTV as the texture filter to split structure and texture. Of course, other texture filters also can be selected.  ... 
arXiv:2207.10953v1 fatcat:nrbrrdt2wvf6fjw5mrl2kqrbiy

A Cognitive Vision System for Nuclear Fusion Device Monitoring [chapter]

Vincent Martin, Victor Moncada, Jean-Marcel Travere, Thierry Loarer, François Brémond, Guillaume Charpiat, Monique Thonnat
2011 Lecture Notes in Computer Science  
The practical purpose is to detect and characterize in real time abnormal events such as hot spots measured through infrared images of the in-vessel components in order to take adequate decisions.  ...  The framework is generic and can be easily adapted to different fusion device environments.  ...  Acknowledgment This work was supported in part by the European Communities under the contract of Association between EURATOM, CEA and the French Research Federation for fusion studies.  ... 
doi:10.1007/978-3-642-23968-7_17 fatcat:aqpa7tmcfndm7n4xmjeio6owum

Infrared and visible image fusion based on optimal segmenting and contour extraction

Javad Abbasi Aghamaleki, Alireza Ghorbani
2021 SN Applied Sciences  
In this paper, we propose a novel simple and fast strategy for infrared (IR) and visible images based on local important areas of IR image. The fusion method is completed in three step approach.  ...  Next, the image fusion is applied on segmented area and finally, contour lines are also used to improve the quality of the results of the second step of fusion method.  ...  Since the infrared image is used as a mask (spatial filter), the number of pixels in visible and infrared images will be the same.  ... 
doi:10.1007/s42452-020-04050-w fatcat:s7zp2w22urdzpiuks4nnrkhqua

Fusion of Infrared-visible Images in UE-IoT for Fault Point Detection Based on GAN

Bin Liao, You Du, Xiangyun Yin
2020 IEEE Access  
In order to assist the detection of fault points, this paper proposes a Generative adversarial networks (GAN) based infrared and visible image fusion method to produce a composite image with enhanced edges  ...  In the discriminator, the proposed method improves the texture similarity between fusion image and visible image by minimizing the Wasserstein distance in VGG (Visual Geometry Group network) feature space  ...  To integrate the thermal radiation distribution from infrared image and the texture details from visible image into one fusion image, we propose an infrared and visible image fusion method based on improved  ... 
doi:10.1109/access.2020.2990539 fatcat:43iou4vunnbbfdazy2muqnv4ri

Multimodal Deep Fusion Network for Visibility Assessment with a Small Training Dataset

Han Wang, Kecheng Shen, Peilun Yu, Quan Shi, Hanseok Ko
2020 IEEE Access  
Unlike these previous studies, in this paper, visible-infrared image pairs are used to estimate the visibility range.  ...  However, existing CNN-based approaches have only adopted visible images as observational data.  ...  -infrared) (visible -infrared) (visible image) (infrared image) (visible patch sequence) (visible image) a b c d e f VOLUME XX, 2017 1 This work is licensed under a Creative Commons Attribution 4.0 License  ... 
doi:10.1109/access.2020.3031283 fatcat:2ebuozw6craznpswnxeln63sqy

Concealed Weapon Detection using Wavelet, Dual Tree Complex Wavelet Transform and Curvelet Transform

Ayush Dogra, Bhawna Goyal, Sunil Agrawal, Apoorav Maulik Sharma, Renu Vig
2018 Journal of Computer Science  
In this manuscript, we have proposed the integration of visible and infrared images of a scene using curvelet, wavelet and Dual Tree Complex Wavelet transform (DTCWT) with their brief introduction and  ...  The infrared and visible cameras providing the information i.e., the characteristic visual features of the image and the thermal radiations are able to provide the complementary information like information  ...  Acknowledgment The author's feel grateful to the anonymous reviewer's for their valuable suggestions and comments to improve the quality of the paper and would like to thanks the editors of the journal  ... 
doi:10.3844/jcssp.2018.1341.1350 fatcat:m4nsco5yvjgwlmh6nnrlpobx64

Infrared and Visible Image Fusion Using Detail Enhanced Channel Attention Network

Yinghan Cui, Huiqian Du, Wenbo Mei
2019 IEEE Access  
Fusion of infrared and visible images aims to maintain thermal radiation information and detailed texture information on a single image.  ...  The experimental results on fusion of infrared and visible images demonstrate that our proposed method outperforms the state-of-the-art fusion methods.  ...  From left to right: infrared image, visible image, fused images as λ = 0.1, 5, 50. FIGURE 7 . 7 Fusion results on 7 infrared and visible image pairs.  ... 
doi:10.1109/access.2019.2959034 fatcat:e6jn4abulne5hczrwrunoau57i

Deep Learning L2 Norm Fusion for Infrared & Visible Images

H Shihabudeen, J Rajeesh
2022 IEEE Access  
INDEX TERMS Artificial neural networks, fusion, infrared, neural networks, visible.  ...  The proposed architecture collect more pixel values from both infrared and visible image and the fused image looks more natural as it contain more textual content.  ...  Shihabudeen would like to thank the College of Engineering Thalassery, College of Engineering Kidangoor, and APJ Abdul Kalam Technological University, Kerala, for giving support for carrying out the research  ... 
doi:10.1109/access.2022.3164426 fatcat:bu7jqfqk7bcntmhn5vn2wnro5a

Visible and Near Infrared Image Fusion Using Base Tone Compression and Detail Transform Fusion

Dong-Min Son, Hyuk-Ju Kwon, Sung-Hak Lee
2022 Chemosensors  
The proposed method synthesizes visible and near-infrared images using contourlet transform, principal component analysis, and iCAM06, while the blending method uses color information in a visible image  ...  This study aims to develop a spatial dual-sensor module for acquiring visible and near-infrared images in the same space without time shifting and to synthesize the captured images.  ...  Dense fuse is a deep learning-based approach of fusing visible and infrared images. This deep learning network consists of convolutional and fusion layers and dense blocks.  ... 
doi:10.3390/chemosensors10040124 fatcat:3m4yyusj4nhjval4b3y22dyqwa

Fusion of Infrared and Visible Images Using Nonsubsampled Shearlet Transform and Block-based Random Image Sampling

2016 Revista Técnica de la Facultad de Ingeniería Universidad del Zulia  
This paper presents a novel image fusion method based on nonsubsampled shearlet transform (NSST) and block-based random image sampling for infrared and visible images.  ...  The experiments are carried out on five pairs of infrared and visible images using five traditional fusion methods to verify the effectiveness and efficiency of the proposed method and by comparing the  ...  Fusion of infrared and visible images is mainly for the purpose of surveillance because of the differences between infrared and visible sensors, which is that the visible image has ability to represent  ... 
doi:10.21311/ fatcat:3kesocryqzaelnqvrqx2cx65bu
« Previous Showing results 1 — 15 out of 10,280 results