Repozytorium Uniwersytetu Zielonogórskiego udostępnia 9 272 obiektów cyfrowych
Obiekt
Tytuł: Performance analysis of a dual stage deep rain streak removal convolution neural network module with a modified deep residual dense network
Contributor:
Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.
Group publication title:
Abstract:
The visual appearance of outdoor captured images is affected by various weather conditions, such as rain patterns, haze, fog and snow. The rain pattern creates more degradation in the visual quality of the image due to its physical structure compared with other weather conditions. Also, the rain pattern affects both foreground and background image information. The removal of rain patterns from a single image is a critical process, and more attention is given to remove the structural rain pattern from real-time rain images. ; In this paper, we analyze the single image deraining problem and present a solution using the dual stage deep rain streak removal convolutional neural network. The proposed single image deraining framework primarily consists of three main blocks: a derain streaks removal CNN (derain SRCNN), a modified residual dense block (MRDB), and a six-stage scale feature aggregation module (3SFAM). The ablation study is conducted to evaluate the performance of various modules available in the proposed deraining network. ; The robustness of the proposed deraining network is evaluated over the popular synthetic and real-time data sets using four performance metrics such as the peak signal-to-noise ratio (PSNR), the feature similarity index (FSIM), the structural similarity index measure (SSIM), and the universal image quality index (UIQI). The experimental results show that the proposed framework outperforms both synthetic and real-time images compared with other state-of-the-art single image deraining approaches. In addition, the proposed network takes less running and training time.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Resource Identifier:
DOI:
Pages:
Source:
AMCS, volume 32, number 1 (2022) ; kliknij tutaj, żeby przejść
Language:
License CC BY 4.0:
Rights:
Biblioteka Uniwersytetu Zielonogórskiego
Kolekcje, do których przypisany jest obiekt:
- Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Repository > Types of work > Articles
- Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (2022)
Data ostatniej modyfikacji:
Jul 22, 2025
Data dodania obiektu:
Jul 22, 2025
Liczba wyświetleń treści obiektu:
7
Wszystkie dostępne wersje tego obiektu:
https://zbc.uz.zgora.pl/repozytorium/publication/101448
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 32, number 1 (2022)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 32, number 2 (2022)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 32, number 3 (2022)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 32, number 4 (2022)
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Obiekty Podobne
Zhabg, Mingheng Wan, Xing Gang, Longhui Lv, Xinfei Wu, Zengwen Liu, Zhaoyang Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Yilmaz, Mustafa Berkay Öztürk, Kagan Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Wang, Yong Zhang, Dongfang Dai, Guangming Kołodziej, Joanna - ed. Pllana, Sabri - ed. Vitabile , Salvatore - ed.
Oz, Muhammed Ali Nur Kaymakci, Ozgur Turay Mercimek, Muharrem Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Bernardo, Lucas Salvador Damaševičius, Robertas Albuquerque, Victor Hugo C. de Maskeliunas, Rytis Kusy, Maciej - ed. Scherer, Rafał - ed. Krzyżak, Adam - ed.
Qian, Yaguan Zhang, Liangjian Wang, Yugi Ji, Boyuan Yao, Tengteng Wang, Bin Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
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Jankowski, Norbert Linowiecki, Rafał Kulczycki, Piotr - ed. Kacprzyk, Janusz - ed. Kóczy, László T. - ed. Mesiar, Radko - ed.
