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LatLRR-CNN: an infrared and visible image fusion method combining latent low-rank representation and CNN
While infrared images have prominent targets and stable imaging, it can hardly maintain such detailed information or quality as texture or...
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Near-infrared shadow detection based on HDR image
High dynamic range images have higher contrast, which can provide more dynamic range and image details to reflect the visual effects in the real...
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Overview of Infrared and Visible Image Fusion Based on Deep Learning
Deep learning can extract image features automatically and then fuse them under the constraint of loss function by training multi-layer and deep...
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A Contrastive Learning Approach for Infrared-Visible Image Fusion
Image processing and computer vision research have embraced deep learning. This paper offers a deep learning infrared-visible image fusion network...
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Infrared Small Target Detection Theory, Methods, and Algorithms.
Uncover the secrets of cutting-edge research in “Infrared Small Target Detection,” a crucial resource that delves into the dynamic world of infrared...
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Thermal infrared image semantic segmentation for night-time driving scenes based on deep learning
Semantic segmentation of thermal infrared (ThIR) images is challenging because the images considered in this task are highly complex. The...
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Adaptive low light visual enhancement and high-significant target detection for infrared and visible image fusion
Infrared and visible image fusion aim to obtain a fused image with salient targets and preserve abundant texture detail information as much as...
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FAColorGAN: a dual-branch generative adversarial network for near-infrared image colorization
In addressing the issues of detail loss and poor robustness in near-infrared (NIR) image colorization tasks, this paper introduces a dual-branch...
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An end-to-end multi-scale network based on autoencoder for infrared and visible image fusion
Infrared and visible image fusion aims to obtain a more informative fusion image by merging the infrared and visible images. However, the existing...
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Real-Time Implementation of a Novel Automatic Gain Control Algorithm for Infrared Image Processing Based on MPSoC
AbstractEnhancing the quality of an infrared image is an essential issue in most infrared imaging camera applications. This paper proposes a novel...
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iPyrDAE: Image Pyramid-Based Denoising Autoencoder for Infrared Breast Images
An early and accurate breast cancer diagnosis will reduce the death rate and improve survival chances. Thermography is a promising non-invasive early...
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An interactive deep model combined with Retinex for low-light visible and infrared image fusion
Directly fusing the low-light visible and infrared images is hard to obtain fusion results containing rich structural details and critical infrared...
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SIEFusion: Infrared and Visible Image Fusion via Semantic Information Enhancement
At present, most of existing fusion methods focus on the metrics and visual effects of image fusion, but ignore the requirements of high-level tasks...
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MIVI: multi-stage feature matching for infrared and visible image
The matching of infrared and visible images has a wide range of applications across various fields. However, the large difference between these two...
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Composite Restoration of Infrared Image Based on Adaptive Threshold Multi-parameter Wavelet
The multiplicative speckle noise and additive background noise of an infrared image are significant elements impacting image quality. To address the...
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MFT: Multi-scale Fusion Transformer for Infrared and Visible Image Fusion
This paper studies the problem of fusing the infrared and visible images to improve the quality of target image. Traditional image fusion algorithms...
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Adaptive enhanced infrared and visible image fusion using hybrid decomposition and coupled dictionary
Infrared and visible image fusion aims to highlight the prominent infrared target while containing the valuable texture details as much as possible....
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Deeplab-YOLO: a method for detecting hot-spot defects in infrared image PV panels by combining segmentation and detection
Aiming at the problem of difficult operation and maintenance of PV power plants in complex backgrounds and combined with image processing technology,...
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Pedestrian detection in infrared image based on depth transfer learning
Because of the difficulty in feature extraction of infrared pedestrian images, the traditional methods of object detection usually make use of the...
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ICWGAN-GP: an image fusion method based on infrared compensator and wasserstein generative adversarial network with gradient penalty
The existing Generative adversarial network (GAN)-based infrared (IR) and visible (VIS) image fusion methods mainly used multiple discriminators to...
