Results 71 to 80 of about 5,362 (169)
Low‐light image enhancement is one of the fundamental challenges in computer vision, aiming to improve brightness, contrast, and color balance under insufficient illumination. In this work, we present a novel entropy–fidelity and deep white‐balance (EF–WB) framework that integrates information‐theoretic optimization with deep learning‐based color ...
Shahad J. Shahbaz +3 more
wiley +1 more source
A Lightweight YOLOv7‐Based Algorithm for Detecting Foreign Objects on Coal Conveyors
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
Autonomous Single-Image Dehazing: Enhancing Local Texture with Haze Density-Aware Image Blending
Single-image dehazing is an ill-posed problem that has attracted a myriad of research efforts. However, virtually all methods proposed thus far assume that input images are already affected by haze. Little effort has been spent on autonomous single-image
Siyeon Han +3 more
doaj +1 more source
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
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
Improved dehazing techniques for maritime surveillance image enhancement [PDF]
The subjective quality of images (human interpretation) is very important in long-range imaging systems, where the presence of haze directly influences visibility of the scene, by reducing contrast and obscuring objects.
Stojanović Branka +2 more
doaj +1 more source
The loss of dominant species or functional groups both leads to an increase in soil organic carbon (SOC), with the loss of dominant species having a stronger effect than that of functional groups. While the removal of dominant species enhances SOC accumulation, it also preserves some coupling among ecosystem attributes, whereas the loss of dominant ...
Xue Hu +11 more
wiley +1 more source
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
HDSA-Net: Haze Density and Semantic Awareness Network for Hyperspectral Image Dehazing
Hyperspectral image (HSI) dehazing is a challenging task due to the complex imaging conditions. Existing deep learning-based dehazing methods neither fully consider the physical characteristics of HSIs, nor take advantage of high-level semantic ...
Qianru Liu +5 more
doaj +1 more source
Dehaze the Image Using Directed Filter Method after Blind Dehazing
Haze is generally phenomenon that an atmospheric stuff that greatly degrades the visibility of outdoor scenes. This phenomenon occurs due to the atmosphere constituent parts that absorb and scatter the light. We use the spread map of image in terms of intensity of image except a continuous region which has no edge information. The scheme performs a per-
Kanchan , Gahlod, Hemant verma
openaire +1 more source

