Results 71 to 80 of about 4,947 (184)

Increasing Soil Organic Carbon but Decoupling of Ecological Attributes After Loss of Dominant Functional Groups in Alpine Meadow

Ecology and Evolution, Volume 15, Issue 10, October 2025.
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, Li Ma, Ruimin Qin, Qiang Zhang, A. Dehaze, Zhen Wang, Zhonghua Zhang, Jingjing Wei, Hongye Su, Shan Li, Zhengchen Shi, Huakun Zhou   +11 more
wiley   +1 more source

Image dehazing using two‐dimensional canonical correlation analysis

IET Computer Vision, 2015
Image dehazing is an important issue that interests both image processing and computer vision. In this study, image dehazing is modelled as an example‐based learning problem, and a novel dehazing algorithm using two‐dimensional (2D) canonical correlation
Liqian Wang, Liang Xiao, Zhihui Wei
doaj   +1 more source

Semantic Single-Image Dehazing

, 2018
Single-image haze-removal is challenging due to limited information contained in one single image. Previous solutions largely rely on handcrafted priors to compensate for this deficiency. Recent convolutional neural network (CNN) models have been used to learn haze-related priors but they ultimately work as advanced image filters.
Cheng, Ziang, You, Shaodi, Ila, Viorela, Li, Hongdong   +3 more
openaire   +2 more sources

Manipulating optical properties of MXene/TiN with strong nonmetallic plasmonic coupling for multifunctional imaging attenuation

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, Yi‐Hua Hu, Wei‐Bing Sun, Yu‐Hao Xia, Qing Ye, Hao Huang, Liang Ma, Ying Chen, Yu‐Shuang Zhang   +8 more
wiley   +1 more source

Deeplearning method for single image dehazing based on HSI colour space

Journal of Measurement Science and Instrumentation, 2021
The traditional single image dehazing algorithm is susceptible to the prior knowledge of hazy image and colour distortion.A new method of deep learning multi-scale convolution neural network based on HSI colour space for single image dehazing is proposed
CHEN Yong, TAO Meifeng, GUO Hongguang
doaj  

A Large‐Scale Dataset and Robust Multifeature Representation With Maximum Correlation‐Based Feature Fusion and Matching for Apparel Image Retrieval

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, Muhammad Fayyaz, Mussarat Yasmin, Muhammad Anwar, Kashif Naseer Qureshi, Usman Ahmed Raza   +5 more
wiley   +1 more source

Multiscale implicit frequency selective network for single-image dehazing

ETRI Journal
Image dehazing is aimed to reconstruct a clear latent image from a degraded image affected by haze. Although vision transformers have achieved impressive success in various computer vision tasks, the limitations in scale and quality of available datasets
Zhibo Wang, Jia Jia, Jeongik Min
doaj   +1 more source

A Denoising Method for Salt and Pepper Noise in Remote Sensing Based on Swin‐Transformer Convolution U‐Net and Filtering—FSCU‐Net

Earth and Space Science, Volume 12, Issue 8, August 2025.
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, G. X. Chen, J. Li, R. S. Du, H. Y. Lu, Y. L. Qi, J. X. Chen   +6 more
wiley   +1 more source

WaveLiteDehaze‐Network: A Low‐Parameter Wavelet‐Based Method for Real‐Time Dehazing

CAAI Transactions on Intelligence Technology, Volume 10, Issue 4, Page 1033-1048, August 2025.
ABSTRACT Although the image dehazing problem has received considerable attention over recent years, the existing models often prioritise performance at the expense of complexity, making them unsuitable for real‐world applications, which require algorithms to be deployed on resource constrained‐devices.
Ali Murtaza, Uswah Khairuddin, Ahmad ’Athif Mohd Faudzi, Kazuhiko Hamamoto, Yang Fang, Zaid Omar   +5 more
wiley   +1 more source

An End-to-End System for Unmanned Aerial Vehicle High-Resolution Remote Sensing Image Haze Removal Algorithm Using Convolution Neural Network

IEEE Access, 2020
An end-to-end image dehazing method based on convolution neural network is presented to solve the problem in which Unmanned Aerial Vehicle (UAV) high-resolution remote sensing images have reduced image sharpness due to haze.
Yufeng Li, Jingbo Ren, Yufeng Huang
doaj   +1 more source