Results 31 to 40 of about 1,106,531 (257)

Single image haze removal based on two steps

, 2017
In this paper, a novel method named Haze Removal based on Two Steps (HRTS) for removing the haze has been proposed based on two steps, which obviously improves the image qualities such as color and visibility caused by haze.
Ruxi Xiang, Xifang Zhu, Feng Wu
core   +1 more source

Traffic sign detection and recognition using deep learning-based approach with haze removal for autonomous vehicle navigation

e-Prime: Advances in Electrical Engineering, Electronics and Energy
Autonomous vehicle navigation technology is increasing rapidly. However, automatic sign recognition in complex illumination environments like low-light, hazy regions is a significant challenge in in-vehicle navigation. So, haze removal and robust traffic
A. Radha Rani, Y. Anusha, S.K. Cherishama, S. Vijaya Laxmi   +3 more
doaj   +1 more source

Single image haze removal using content‐adaptive dark channel and post enhancement

IET Computer Vision, 2014
As a challenging problem, image haze removal plays an important role in computer vision applications. The dark channel prior has been widely studied for haze removal since it is simple and effective; however, it still suffers from over‐saturation ...
Bo Li, Shuhang Wang, Jin Zheng, Liping Zheng   +3 more
doaj   +1 more source

Polarization-Based Haze Removal Using Self-Supervised Network

Frontiers in Physics, 2022
Atmospheric scattering caused by suspended particles in the air severely degrades the scene radiance. This paper proposes a method to remove haze by using a neural network that combines scene polarization information.
Yingjie Shi, Yingjie Shi, Enlai Guo, Enlai Guo, Lianfa Bai, Lianfa Bai, Jing Han, Jing Han   +7 more
doaj   +1 more source

Spectrally consistent haze removal in multispectral data

, 2014
The presence of haze reduces the accuracy of optical data interpretation acquired from satellites. Medium and high spatial resolution multispectral data are often degraded by haze and haze detection and removal is still a challenging and important task.
Rupert Müller, Richter, Rudolf, Reinartz, Peter, Makarau, Aliaksei, Müller, Rupert, Aliaksei Makarau, Peter Reinartz, Rudolf Richter   +7 more
core   +1 more source

Hybrid Dark Channel Prior for Image Dehazing Based on Transmittance Estimation by Variant Genetic Algorithm

Applied Sciences, 2023
Image dehazing has always been one of the main areas of research in image processing. The traditional dark channel prior algorithm (DCP) has some shortcomings, such as incomplete fog removal and excessively dark images.
Long Wu, Jie Chen, Shuyu Chen, Xu Yang, Lu Xu, Yong Zhang, Jianlong Zhang   +6 more
doaj   +1 more source

DEHRFormer: Real-time Transformer for Depth Estimation and Haze Removal from Varicolored Haze Scenes

, 2023
Varicolored haze caused by chromatic casts poses haze removal and depth estimation challenges. Recent learning-based depth estimation methods are mainly targeted at dehazing first and estimating depth subsequently from haze-free scenes.
Jiang, JingXia, Chen, Sixiang, Chen, Erkang, Chen, Peng, Shi, Jun, Liu, Yun, Ye, Tian   +6 more
core  

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

China's Low‐Carbon Energy Transition Over the Past Two Decades: Experiences and Implications

Advanced Science, EarlyView.
China's low‐carbon energy transition features a brief decline and subsequent rebound in coal consumption, alongside the rapid expansion of renewable energy. This study develops a stage‐based analytical framework to explain this evolution from the perspectives of economic development, energy security, and environmental sustainability, revealing how ...
Yu Liu, Zhiyu Tian, Zhengxian Zhang, Xinbei Li   +3 more
wiley   +1 more source

A High-Fidelity Haze Removal Method Based on HOT for Visible Remote Sensing Images

Remote Sensing, 2016
Spatially varying haze is a common feature of most satellite images currently used for land cover classification and mapping and can significantly affect image quality. In this paper, we present a high-fidelity haze removal method based on Haze Optimized
Hou Jiang, Ning Lu, Ling Yao
doaj   +1 more source