Results 91 to 100 of about 739 (170)
SINGLE IMAGE DEHAZING USING PHYSICS-INFORMED CONVOLUTIONAL AUTOENCODER
Модели, системы, сети в экономике, технике, природе и обществеBackground. Generally, haze can be considered to be one of the most fundamental phenomena causing image visibility degradation. Numerous haze removal approaches have been proposed and most of them have achieved significant progress.
A.V. Kozhevnikova, M.A. Mitrokhin
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ICAFormer: An Image Dehazing Transformer Based on Interactive Channel Attention
SensorsSingle image dehazing is a fundamental task in computer vision, aiming to recover a clear scene from a hazy input image. To address the limitations of traditional dehazing algorithms—particularly in global feature association and local detail ...
Yanfei Chen +6 more
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Anomaly Detection of Small Targets in PBF Powder Spreading Process Based on Mask Fusion
IEEE AccessEnhancing the accuracy of anomaly detection in powder bed fusion, particularly for small-scale defects, remains an open challenge in additive manufacturing.
Peiyuan Li, Fei Xing, Weijun Liu
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Multi-Scale Attention Feature Enhancement Network for Single Image Dehazing. [PDF]
Sensors (Basel), 2023 Dong W, Wang C, Sun H, Teng Y, Xu X.
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WTCL-DEHAZE: RETHINKING REAL-WORLD IMAGE DEHAZING VIA WAVELET TRANSFORM AND CONTRASTIVE LEARNING
International Journal on Cybernetics & InformaticsImages captured in hazy outdoor conditions often suffer from colour distortion, low contrast, and loss of detail, which impair high-level vision tasks. Single image dehazing is essential for applications such as autonomous driving and surveillance, with the aim of restoring image clarity. In this work, we propose WTCL-Dehaze an enhanced semi-supervised
Appiah, Divine Joseph +3 more
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Customized m-RCNN and hybrid deep classifier for liver cancer segmentation and classification
HeliyonDiagnosing liver disease presents a significant medical challenge in impoverished countries, with over 30 billion individuals succumbing to it each year.
Rashid Khan +5 more
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Reliable image dehazing by NeRF
Optics ExpressImage dehazing is a typical low-level visual task. With the continuous improvement of network performance and the introduction of various prior knowledge, the ability of image dehazing is becoming stronger. However, the existing dehazing methods have problems such as the inability to obtain real shooting datasets, unreliable dehazing processes, and the
Zheyan Jin +4 more
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IDOD-YOLOV7: Image-Dehazing YOLOV7 for Object Detection in Low-Light Foggy Traffic Environments. [PDF]
Sensors (Basel), 2023 Qiu Y, Lu Y, Wang Y, Jiang H.
europepmc +1 more source
MathematicsSingle-image dehazing of high-voltage power transmission lines (HPTLs) using deep learning methods confronts two critical challenges: the non-homogeneous haze distribution in HPTL images and the unavailability of paired clear images for supervised ...
Xiaoyi Cuan +4 more
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GUSL-Dehaze: A Green U-Shaped Learning Approach to Image Dehazing
2025 IEEE 8th International Conference on Multimedia Information Processing and Retrieval (MIPR)Image dehazing is a restoration task that aims to recover a clear image from a single hazy input. Traditional approaches rely on statistical priors and the physics-based atmospheric scattering model to reconstruct the haze-free image. While recent state-of-the-art methods are predominantly based on deep learning architectures, these models often ...
Movaheddrad, Mahtab +2 more
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