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Multi-scale Bézier Filter Based Infrared and Visual Image Fusion
In this study, we have proposed a multi-scale Bézier filter based method for infrared and visual image fusion. Specifically, we first exploit our...
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Target Detection in Infrared Image of Transmission Line Based on Faster-RCNN
Compared with the visual image, the infrared image of the transmission line has lost some image characteristics and the image resolution is lower. In...
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GPU-Accelerated Infrared Patch-Image Model for Small Target Detection
Infrared small target detection plays a significant role in precision guidance and infrared warning systems. Although existing methods based on...
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Brain-inspired filtering Network for small infrared target detection
Small infrared target detection is a challenge in computer vision because small infrared target occupies fewer pixels and the environment around the...
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An effective reconstructed pyramid crosspoint fusion for multimodal infrared and visible images
Fusion for multimodal infrared and visible images refers to the process of combining detail from both infrared and visible images, which holds...
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Infrared Image Object Detection of Vehicle and Person Based on Improved YOLOv5
Existing object detection algorithms are difficult to perform object detection tasks on embedded devices under the limitations of energy efficiency...
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Infrared and visible image fusion via multi-scale multi-layer rolling guidance filter
The desire of infrared (IR) and visible (VIS) image fusion is to bring out an admixture image to augment the target information from IR image and to...
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Infrared and Near-Infrared Image Generation via Content Consistency and Style Adversarial Learning
Infrared (IR) and Near-Infrared (NIR) images, which are more robust to illumination variances and more suitable for all-whether applications than...
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A novel visible and infrared image fusion method based on convolutional neural network for pig-body feature detection
The visible (VI) and infrared (IR) image fusion has been an active research task because of its higher segmentation accuracy rate during recent...
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Recognition and monitoring of gas leakage using infrared imaging technique with machine learning
Gas leakage in the domestic sector leads to numerous dangerous hazards. The earlier prediction is one of the safety measures to prevent various...
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Infrared small target detection based on Bi-Nuclear norm minimization
Infrared small target detection (ISTD) in complex backgrounds poses significant challenges in modern applications. Existing solutions based on...
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A constrained optimization method for blocking artifact compensation in JPEG infrared image
Aiming to improve the quality of JPEG decompressed infrared images, this paper presents a constrained optimization method for blocking artifact...
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GLCANet: Context Attention for Infrared Small Target Detection
Infrared small target detection (IRSTD) refers to extracting small targets from infrared images with noisy interference and blurred background. Due...
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A registration algorithm for the infrared and visible images of apple based on active contour model
To study the fruit image fusion technology in the case of thermal infrared and visible heterogeneous sources and the method of online defect...
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Visible-infrared person re-identification employing style-supervision and content-supervision
Cross-modal visible-infrared person re-identification (VI-ReID) aims to retrieve images of the same pedestrians captured by visible (VIS) cameras and...
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CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image Fusion
Infrared and visible image fusion targets to provide an informative image by combining complementary information from different sensors. Existing...
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Rough Rice Grading in the Philippines Using Infrared Thermography
The Rough rice grading is a set of standard methods and processes for evaluating quality that are important to marketing and process controls. IR...
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Quality and content-aware fusion optimization mechanism of infrared and visible images
Infrared and visible image fusion aims to generate a single fused image that contains abundant texture details and thermal radiance information. For...
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Attention guided grad-CAM : an improved explainable artificial intelligence model for infrared breast cancer detection
Explainable artificial intelligence (XAI) can help build trust between AI models and healthcare professionals in the context of medical image...
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A total variation global optimization framework and its application on infrared and visible image fusion
The main bottleneck faced by total variation methods for image fusion is that it is difficult to design a novel optimization model that can be solved...
