Results 71 to 80 of about 3,318 (186)
Multi-level fusion dehazing network based on learning of hazy layers
Aiming at the problems such as color cast and incomplete haze removal in dehazing algorithms, a multi-level feature fusion network based on the learning of hazy layers is proposed for single image dehazing.
WANG Rong, YANG Yan
doaj
Model-Based Single Image Deep Dehazing
Model-based single image dehazing algorithms restore images with sharp edges and rich details at the expense of low PSNR values. Data-driven ones restore images with high PSNR values but with low contrast, and even some remaining haze. In this paper, a novel single image dehazing algorithm is introduced by fusing model-based and data-driven approaches.
Li, Zhengguo +3 more
openaire +2 more sources
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
Classification-driven Single Image Dehazing
Most existing dehazing algorithms often use hand-crafted features or Convolutional Neural Networks (CNN)-based methods to generate clear images using pixel-level Mean Square Error (MSE) loss. The generated images generally have better visual appeal, but not always have better performance for high-level vision tasks, e.g. image classification.
Pei, Yanting +2 more
openaire +2 more sources
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
Pseudo-polarimetric Method for Dense Haze Removal
The scattering and absorption by the existing particles in turbid media is severely degrading the image quality and decreasing the visibility distance, especially in dense turbid media.
Xiaobo Li +6 more
doaj +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
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
Abstract Remote sensing imagery has become an indispensable tool for cost‐effectively capturing extensive geospatial data across diverse applications. However, this technology remains fundamentally susceptible to noise contamination. Salt and pepper noise is one of the common issues that can significantly impair image quality and hinder subsequent ...
R. T. Cai +6 more
wiley +1 more source

