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Rong Wang, Yonghui Zhang and Yulu Zhang
The absorption and scattering of light in water usually result in the degradation of underwater image quality, such as color distortion and low contrast. Additionally, the performance of acquisition devices may limit the spatial resolution of underwater ...
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Huizhong Xiong, Xiaotong Gao, Ningyi Zhang, Haoxiong He, Weidong Tang, Yingqiu Yang, Yuqian Chen, Yang Jiao, Yihong Song and Shuo Yan
A novel deep learning model, DiffuCNN, is introduced in this paper, specifically designed for counting tobacco lesions in complex agricultural settings. By integrating advanced image processing techniques with deep learning methodologies, the model signi...
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Manar Aldaoud, Dawood Al-Abri, Medhat Awadalla and Firdous Kausar
Named Data Networking (NDN) is a future Internet architecture that requires an Inter-Domain Routing (IDR) to route its traffic globally. Address resolution is a vital component of any IDR system that relies on a Domain Name System (DNS) resolver to trans...
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Yimin Ma, Yi Xu, Yunqing Liu, Fei Yan, Qiong Zhang, Qi Li and Quanyang Liu
In recent years, deep convolutional neural networks with multi-scale features have been widely used in image super-resolution reconstruction (ISR), and the quality of the generated images has been significantly improved compared with traditional methods....
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Junbo Liu, Ji Zhou, Dajie Yu, Haifeng Sun, Song Hu and Jian Wang
As an effective resolution enhancement technology, source optimization (SO) is considered key for significantly improving the image quality of optical lithography at advanced nodes. To solve the problem of unsatisfactory SO performance, it is necessary t...
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Zhiwu Chen, Wenjing Wang, QingE Wu, Yingbo Lu, Lintao Zhou and Hu Chen
In order to solve the problem that steel surface defects are easily covered or submerged by other objects or noise, this paper proposes an open?closed transformation algorithm which can eliminate or weaken multiple noises. In the case of a small number o...
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Huihui Sun, Hao Yan, Mostafa Hassanalian, Junguo Zhang and Abdessattar Abdelkefi
Unmanned air vehicle (UAV) systems for performing forestry applications have expanded in recent decades and have great economic benefits. They are validated to be more appealing than traditional platforms in various aspects, such as repeat rate, spatial ...
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Yong Li, Ruichen Wang, Dongxu Gao and Zhiyong Liu
Unmanned surface vehicle (USV)-based floating-waste detection presents significant challenges. Due to the water surface?s high reflectivity, there are often light spots and reflections in images captured by USVs. Furthermore, floating waste often consist...
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Binghui Tang, Yuemin Wang, Ang Chen, Ruqing Gong and Yunwei Zhao
Pipeline systems are prone to defects due to the harsh service conditions, which may induce catastrophic failure if found not in time. Ultrasonic guided wave (UGW) testing provides a convenient option for pipeline detection, showing high-efficiency, non-...
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Petra Svobodova, Khyati Sethia, Petr Strakos and Alice Varysova
The segmentation of hepatic vessels is crucial for liver surgical planning. It is also a challenging task because of its small diameter. Hepatic vessels are often captured in images of low contrast and resolution. Our research uses filter enhancement to ...
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