|
|
|
|
|
Feng Tian, Mengjiao Wang and Xiaopei Liu
Aiming at solving the problems of local halo blurring, insufficient edge detail preservation, and serious noise in traditional image enhancement algorithms, an improved Retinex algorithm for low-light mine image enhancement is proposed. Firstly, in HSV c...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ulrich Carsten Johannes Rischmüller, Alexandros Lessis, Patrick Egerer and Mirko Hornung
A wide range of aircraft propulsion technologies is being investigated in current research to reduce the environmental impact of commercial aviation. As the implementation of purely hydrogen-powered aircraft may encounter various challenges on the airpor...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jingxia Jiang, Peiyun Huang, Lihan Tong, Junjie Yin and Erkang Chen
Underwater images are frequently subject to color distortion and loss of details. However, previous enhancement methods did not tackle these mixed degradations by dividing them into sub-problems that could be effectively addressed. Moreover, the paramete...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rastislav Róka
In this paper, the reasons for the bandwidth and wavelength utilization in future next-generation passive optical networks are presented, and the possibilities for realization and utilization of extended dynamic wavelength and bandwidth algorithms for th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Christos Troussas, Akrivi Krouska, Antonios Koliarakis and Cleo Sgouropoulou
Recommender systems are widely used in various fields, such as e-commerce, entertainment, and education, to provide personalized recommendations to users based on their preferences and/or behavior. ?his paper presents a novel approach to providing custom...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nikolaos P. Ventikos, Panagiotis Sotiralis, Manolis Annetis, Vasileios C. Podimatas, Evangelos Boulougouris, Fotios Stefanidis, Stefanos Chatzinikolaou and Alessandro Maccari
Evacuating a large and complex environment, such as a large passenger vessel, either cruise or RoPax, is a safety-critical task that involves thousands of people in motion and a complex decision-making process. Despite the significant enhancement of mari...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yu Ning, Yong-Ping Jin, You-Duo Peng and Jian Yan
Efficient underwater visual environment perception is the key to realizing the autonomous operation of underwater robots. Because of the complex and diverse underwater environment, the underwater images not only have different degrees of color cast but a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zeju Wu, Yang Ji, Lijun Song and Jianyuan Sun
To solve the problems of underwater image color deviation, low contrast, and blurred details, an algorithm based on color correction and detail enhancement is proposed. First, the improved nonlocal means denoising algorithm is used to denoise the underwa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiajia Sheng, Youqiang Sun, He Huang, Wenyu Xu, Haotian Pei, Wei Zhang and Xiaowei Wu
Cropland extraction has great significance in crop area statistics, intelligent farm machinery operations, agricultural yield estimates, and so on. Semantic segmentation is widely applied to remote sensing image cropland extraction. Traditional semantic ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuseok Ban and Kyungjae Lee
In this study, we propose a multi-scale ensemble learning method for thermal image enhancement in different image scale conditions based on convolutional neural networks. Incorporating the multiple scales of thermal images has been a tricky task so that ...
ver más
|
|
|
|
|
|