دورية أكاديمية

Underwater Image Restoration via Non-Convex Non-Smooth Variation and Thermal Exchange Optimization

التفاصيل البيبلوغرافية
العنوان: Underwater Image Restoration via Non-Convex Non-Smooth Variation and Thermal Exchange Optimization
المؤلفون: Qingliang Jiao, Ming Liu, Pengyu Li, Liquan Dong, Mei Hui, Lingqin Kong, Yuejin Zhao
المصدر: Journal of Marine Science and Engineering, Vol 9, Iss 6, p 570 (2021)
بيانات النشر: MDPI AG, 2021.
سنة النشر: 2021
المجموعة: LCC:Naval architecture. Shipbuilding. Marine engineering
LCC:Oceanography
مصطلحات موضوعية: underwater image restoration, underwater DCP (dark channel prior), non-convex non-smooth variation, adapt parameter selection, thermal exchange optimization, Naval architecture. Shipbuilding. Marine engineering, VM1-989, Oceanography, GC1-1581
الوصف: The quality of underwater images is an important problem for resource detection. However, the light scattering and plankton in water can impact the quality of underwater images. In this paper, a novel underwater image restoration based on non-convex, non-smooth variation and thermal exchange optimization is proposed. Firstly, the underwater dark channel prior is used to estimate the rough transmission map. Secondly, the rough transmission map is refined by the proposed adaptive non-convex non-smooth variation. Then, Thermal Exchange Optimization is applied to compensate for the red channel of underwater images. Finally, the restored image can be estimated via the image formation model. The results show that the proposed algorithm can output high-quality images, according to qualitative and quantitative analysis.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2077-1312
Relation: https://www.mdpi.com/2077-1312/9/6/570; https://doaj.org/toc/2077-1312
DOI: 10.3390/jmse9060570
URL الوصول: https://doaj.org/article/b1794d8a6f604a42b8e617c67f8803f2
رقم الأكسشن: edsdoj.b1794d8a6f604a42b8e617c67f8803f2
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20771312
DOI:10.3390/jmse9060570