Zobrazeno 1 - 10
of 1 397
pro vyhledávání: '"Dark Channel Prior"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Murals, as important carriers of cultural heritage and historical records, showcase artistic, aesthetic, social, and political significance. In ancient times, religious activities such as burning incense and candles in temples led to many mu
Externí odkaz:
https://doaj.org/article/91f6ba4e035744429513dba2a7eb3330
Akademický článek
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Autor:
Nitin More, Vidya ⁎, Vyas, Vibha
Publikováno v:
In Journal of King Saud University - Engineering Sciences December 2024 36(8) Part A:600-610
Autor:
A.V. Kozhevnikova, M.A. Mitrokhin
Publikováno v:
Модели, системы, сети в экономике, технике, природе и обществе, Iss 1 (2024)
Background. Generally, haze can be considered to be one of the most fundamental phenomena causing image visibility degradation. Numerous haze removal approaches have been proposed and most of them have achieved significant progress. In this paper t
Externí odkaz:
https://doaj.org/article/9598e305094f42e481bc4dd98d091b7f
Autor:
Md. Fahim-Ul-Islam, Noshin Tabassum, Amitabha Chakrabarty, Syed Mahfuzul Aziz, Mahdieh Shirmohammadi, Nasim Khonsari, Hyun-Han Kwon, Md. Jalil Piran
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 19095-19114 (2024)
Wildfires are crucial to the ecosystem health, yet wildfires also pose a grave threat to human lives and the environment. Early detection remains challenging, especially in remote areas. Satellite data and autonomous aerial vehicles (AAVs) have becom
Externí odkaz:
https://doaj.org/article/c0ca6b17294b40e499030005265bc0a0
Akademický článek
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Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7978 (2024)
Haze imagery suffers from reduced clarity, which can be attributed to atmospheric conditions such as dust or water vapor, resulting in blurred visuals and heightened brightness due to light scattering. Conventional methods employing the dark channel
Externí odkaz:
https://doaj.org/article/fc9f9c25a340480394161bac4d19d909
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 8, p 1255 (2024)
Due to the detrimental impact of fog on image quality, dehazing maritime images is essential for applications such as safe maritime navigation, surveillance, environmental monitoring, and marine research. Traditional dehazing techniques, which are de
Externí odkaz:
https://doaj.org/article/679020c77e4b4f058108eb2f6d2e22fd
Autor:
Yue Wang, Fengying Yue, Jiaxin Duan, Haifeng Zhang, Xiaodong Song, Jiawei Dong, Jiaxin Zeng, Sidong Cui
Publikováno v:
Photonics, Vol 11, Iss 8, p 718 (2024)
Image defogging is an essential technology used in traffic safety monitoring, military surveillance, satellite and remote sensing image processing, medical image diagnostics, and other applications. Current methods often rely on various priors, with
Externí odkaz:
https://doaj.org/article/1bfa75586b5043779f551617f79229d3
Publikováno v:
Sensors, Vol 24, Iss 12, p 3746 (2024)
In this paper, we propose a lightweight U-net architecture neural network model based on Dark Channel Prior (DCP) for efficient haze (fog) removal with a single input. The existing DCP requires high computational complexity in its operation. These co
Externí odkaz:
https://doaj.org/article/26fa72d9874d4626a1c5757375770480