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作者:

Sabir, Muhammad Ayub (Sabir, Muhammad Ayub.) | Ashraf, Fatima (Ashraf, Fatima.) | Sajid, Ahthasham (Sajid, Ahthasham.) | Innab, Nisreen (Innab, Nisreen.) | Alrowili, Reem (Alrowili, Reem.) | Yasin, Yazeed (Yasin, Yazeed.)

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EI

摘要:

Image dehazing is a crucial preprocessing step in computer vision for enhancing image quality and enabling many downstream applications. However, existing methods often do not accurately restore hazy images while maintaining computational efficiency. To overcome this challenge, we propose ERCO-Net a new fusion framework that combines edge restriction and contextual optimization methods. By using boundary constraints, ERCO-Net extend the boundaries that help in protecting the edges and structures of an image. Contextual optimization impacts the final quality of the dehazed image by enhancing smoothness and coherence. We compare ERCO-Net with conventional approaches such as dark channel prior (DCP), Allin- one dehazing network (AoD), and Feature fusion attention network (FFA-Net). The comparative evaluation highlights the effectiveness of the proposed fusion method, providing significant improvement in image clarity, contrast, and colors. The combination of edge restriction and contextual optimization not only enhances the quality of dehazing but also decreases computational complexity, presenting a promising avenue for advancing image restoration techniques. The source code is available at https://github.com/FatimaAyub12/Image-Dehazing-. © (2024), (Science and Information Organization). All rights reserved.

关键词:

HTTP Image enhancement Image quality Demulsification Restoration Image reconstruction Image denoising

作者机构:

  • [ 1 ] [Sabir, Muhammad Ayub]Department of Information Technology, Beijing University of Technology, China
  • [ 2 ] [Ashraf, Fatima]Department of Information Technology, Beijing University of Technology, China
  • [ 3 ] [Sajid, Ahthasham]Department of Cyber Security-Riphah Institute of Systems Engineering, Riphah International University, Pakistan
  • [ 4 ] [Innab, Nisreen]Department of Computer Science and Information Systems-College of Applied Sciences, AlMaarefa University, Diriyah, Saudi Arabia
  • [ 5 ] [Alrowili, Reem]Department of Computer Science and Information Systems-College of Applied Sciences, AlMaarefa University, Diriyah, Saudi Arabia
  • [ 6 ] [Yasin, Yazeed]Department of Computer Science and Software Engineering, Al Ain University, Al Ain, United Arab Emirates

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来源 :

International Journal of Advanced Computer Science and Applications

ISSN: 2158-107X

年份: 2024

期: 10

卷: 15

页码: 1115-1122

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