Results 71 to 80 of about 739 (170)
A Lightweight YOLOv7‐Based Algorithm for Detecting Foreign Objects on Coal Conveyors
Energy Science &Engineering, Volume 13, Issue 11, Page 5495-5509, November 2025.During the coal mining, large foreign objects may block coal conveyors, leading to a series of safety accidents. The existing models for detecting foreign objects in coal conveyors perform poorly in low‐light environments, resulting in false or missed detections of foreign objects.
Zhang Mei, Sun Zilong, Zhang Yifan
wiley +1 more source
Remote SensingRemote sensing image dehazing aims to enhance the visibility of hazy images and improve the quality of remote sensing imagery, which is essential for various applications such as object detection and classification.
Yitong Zheng +4 more
doaj +1 more source
Dehazing Ultrasound Using Diffusion Models
IEEE Transactions on Medical ImagingEchocardiography has been a prominent tool for the diagnosis of cardiac disease. However, these diagnoses can be heavily impeded by poor image quality. Acoustic clutter emerges due to multipath reflections imposed by layers of skin, subcutaneous fat, and intercostal muscle between the transducer and heart.
Tristan S. W. Stevens +5 more
openaire +4 more sources
Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 27, Page 4732-4757, 14 November 2025.Abstract Computer vision‐based ship detection using extensively labeled images is crucial for visual maritime surveillance. However, such data collection is labor‐intensive and time‐demanding, which hinders the practical application of newly built ship inspection systems. Additionally, well‐trained detectors are usually deployed on resource‐constrained
Ruixuan Liao +6 more
wiley +1 more source
Progressive Back-Traced Dehazing Network Based on Multi-Resolution Recurrent Reconstruction
IEEE Access, 2020 In order to alleviate adverse impacts of haze on high-level vision tasks, image dehazing attracts great attention from computer vision research field in recent years.
Qiaosi Yi +4 more
doaj +1 more source
SMGAN: A self-modulated generative adversarial network for single image dehazing
AIP Advances, 2021 Single image dehazing has become a key prerequisite for most high-level computer vision tasks since haze severely degrades the input images. Traditional prior-based methods dehaze images by some assumptions concluded from haze-free images, which recover ...
Nian Wang +5 more
doaj +1 more source
Advanced Science, Volume 12, Issue 39, October 20, 2025.A quantum well infrared photodetector based long‐wavelength infrared division‐of‐focal‐plane‐array circular polarimeter featuring a 320 × 256 pixel array integrated with a chiral meta‐mirror structure array is established. The device achieves a circular polarization extinction ratio of 5.67, a 9.13‐fold enhancement in responsivity, a noise equivalent ...
Tianyun Zhu +11 more
wiley +1 more source
InfoMat, Volume 7, Issue 9, September 2025.Plasmonic materials enable flexible optical manipulation owing to their unique plasmon resonance, making them highly promising for photoelectronic imaging attenuation. This study theoretically designed and experimentally prepared a unique dual nonmetallic plasmonic Ti3C2Tx/TiN hybrid.
Jing‐Wen Zou +8 more
wiley +1 more source
Image Dehaze Algorithm Based on Improved Atmospheric Scattering Models
IEEE AccessDue to the influence of rainy and foggy weather, obtaining clear images becomes more challenging, often resulting in low visibility, poor contrast, and missing detail information.
Wenqiang Yan, Lei Cui
doaj +1 more source
Expert Systems, Volume 42, Issue 9, September 2025.ABSTRACT Finding the correct match to a probe image from a vast amount of data is critical for the online retrieval of apparel images. These images are captured under an uncontrolled environment (e.g., viewpoint and illumination changes); therefore, such type of data is extremely challenging in Content‐Based Image Retrieval (CBIR) research.
Marryam Murtaza +5 more
wiley +1 more source