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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...
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MFSFFuse: Multi-receptive Field Feature Extraction for Infrared and Visible Image Fusion Using Self-supervised Learning
The infrared and visible image fusion aims to fuse complementary information in different modalities to improve image quality and resolution, and...
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A novel infrared and visible image fusion method based on multi-level saliency integration
Infrared and visible image fusion makes full use of abundant detailed information of multi-sensor to help people better understand various scenarios....
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Cross-UNet: dual-branch infrared and visible image fusion framework based on cross-convolution and attention mechanism
Existing infrared and visible image fusion methods suffer from edge information loss, artifact introduction, and image distortion. Therefore, a...
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Infrared and visible image fusion using a generative adversarial network with a dual-branch generator and matched dense blocks
To obtain a better fusion effect for infrared and visible images, a generative adversarial network using a dual-branch generator with matched dense...
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Infrared and visible image fusion based on VPDE model and VGG network
Infrared (IR) and visible (VIS) image fusion techniques are widely applied to many high-level vision tasks, such as object detection, recognition,...
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NOSMFuse: An infrared and visible image fusion approach based on norm optimization and slime mold architecture
In existing infrared and visible image fusion algorithms, it is usually difficult to maintain a good balance of meaningful information between two...
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An infrared and visible image fusion algorithm based on ResNet-152
The fusion of infrared and visible images can obtain a combined image with hidden objective and rich visible details. To improve the details of the...
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Sea-sky line detection in the infrared image based on the vertical grayscale distribution feature
When detecting sea-sky line (SSL) in the infrared image, the blurry SSL, conspicuous sea clutter affects the accurate detection of SSL seriously. To...
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Improved YOLOv4 Infrared Image Pedestrian Detection Algorithm
Because pedestrians are always in the active state, each target is at a different distance from the camera, resulting in a certain difference in the...
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An adaptive bilateral filtering method based on improved convolution kernel used for infrared image enhancement
Smoothing filters are widely used in computer vision and computer graphics. Bilateral filtering is a typical edge-preserving filter, which has the...
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RCSLFNet: a novel real-time pedestrian detection network based on re-parameterized convolution and channel-spatial location fusion attention for low-resolution infrared image
A novel real-time infrared pedestrian detection algorithm is introduced in this study. The proposed approach leverages re-parameterized convolution...
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Modality Balancing Mechanism for RGB-Infrared Object Detection in Aerial Image
RGB-Infrared object detection in aerial images has gained significant attention due to its effectiveness in mitigating the challenges posed by...
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LE2Fusion: A Novel Local Edge Enhancement Module for Infrared and Visible Image Fusion
Infrared and visible image fusion task aims to generate a fused image which contains salient features and rich texture details from multi-source...
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Infrared Target Recognition Technology Based on Few Shot Learning
Aiming at the problems of sparse sample data and high difficulty of embedded implementation under the constraint of limited resources in the military...
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Smoke Detection with Dual Convolutional Networks From Infrared Frames
In many smoke detection fields, such as fire detection in confined space of aircraft cargo hold, the false alarm rate is still high. In the closed...
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I2QED: A Benchmark Database for Infrared Imaging Quality Evaluation
The infrared images have wider practical value in industry, medicine and military. They capture the long wave at the infrared camera, which will...
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Infrared image super-resolution method for edge computing based on adaptive nonlocal means
Infrared images generally suffer from low resolutions, which restricts the further data mining of these images. Super-resolution (SR) technology...
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A comprehensive survey on image enhancement techniques with special emphasis on infrared images
Capturing of infrared images is an easy task but perceptual visualization is difficult due to environmental conditions such as light rain, partly...
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Towards Human Keypoint Detection in Infrared Images
Human keypoint detection is not applicable in low-light and nighttime conditions. In this work, we innovatively use infrared images for multi-person...