A Novel Hybrid Algorithm for Effective Image Restoration

Hewa Zangana; Mahmood Mustafa Firas; Marwan Omar

doi:10.26740/vubeta.v2i2.38118

Authors

Hewa Majeed Zangana IT Dept., Duhok Technical College, Duhok Polytechnic University, Duhok, Iraq https://orcid.org/0000-0001-7909-254X
Firas Mahmood Mustafa Chemical Engineering Dept., Technical College of Engineering, Duhok Polytechnic University, Duhok, Iraq
Marwan Omar ITM Department, Illinois Institute of Technology, Chicago, USA

DOI:

https://doi.org/10.26740/vubeta.v2i2.38118

Keywords:

Deep Learning, Image Restoration, Noise Reduction, Traditional Image Processing, Wiener Filter

Abstract

Image restoration plays a pivotal role in various applications, from medical imaging to satellite photography, by enhancing the quality of images degraded by noise, blur, or other distortions. Traditional methods and deep learning techniques have both shown promise in addressing these challenges, yet each has its limitations. Traditional algorithms often struggle with complex distortions, while deep learning models demand extensive computational resources and large datasets. To harness the strengths of both approaches, we propose a novel hybrid algorithm that integrates traditional image restoration techniques with advanced deep learning models. This paper presents a novel hybrid algorithm for image restoration, integrating traditional Wiener filtering with a state-of-the-art U-shaped transformer (Uformer) architecture. Unlike existing methods, our approach combines the computational efficiency of classical techniques with the robustness and precision of deep learning. Comprehensive evaluations on benchmark datasets demonstrate significant improvements in restoration quality (PSNR/SSIM) and computational efficiency compared to state-of-the-art methods. This research contributes a new perspective on hybrid methodologies, bridging the gap between traditional and modern approaches in image restoration.

Author Biographies

Hewa Majeed Zangana, IT Dept., Duhok Technical College, Duhok Polytechnic University, Duhok, Iraq

He is an Assistant Professor at Duhok Polytechnic University (DPU) in Iraq, currently pursuing a PhD in ITM at DPU. He has previously served as an Assistant Professor at Ararat Private Technical Institute and a Lecturer at Amedi Technical Institute and Nawroz University. His administrative roles include Curriculum Division Director at DPU and Acting Dean of the College of Computer and IT at Nawroz University. His research interests cover network systems, information security, and intelligent systems. He has published in peer-reviewed journals such as IEEE and serves on various editorial boards and scientific committees, also published multiple books indexed in Scopus with IGI Global.

Firas Mahmood Mustafa , Chemical Engineering Dept., Technical College of Engineering, Duhok Polytechnic University, Duhok, Iraq

He holds a Ph.D. in Computer Engineering from Mosul University, Iraq. His academic journey began with a B.Sc. in Electrical Engineering (Electronics and Communication), graduating in the top quarter of his class. He earned an M.Sc. in Computer Engineering from Mosul University in 2000. Mustafa joined the Computer Science Department at AlHadba University in 2003 and completed his Ph.D. in 2007. From 2013 to 2017, he was with DPU University, and from 2017 to 2020, he chaired the CCE Department at Nawroz University. An active participant in Erasmus+ and IREX programs, he now teaches at DPU University, shaping future computer engineering professionals.

Marwan Omar , ITM Department, Illinois Institute of Technology, Chicago, USA

He is an Associate Professor of Cybersecurity and Digital Forensics at the Illinois Institute of Technology. He holds a Doctorate in Computer Science specializing in Digital Systems Security from Colorado Technical University and a Post-Doctoral Degree in Cybersecurity from the University of Fernando Pessoa, Portugal. Dr. Omar's work focuses on cybersecurity, data analytics, machine learning, and AI in digital forensics. His extensive research portfolio includes numerous publications and over 598 citations. Known for his industry experience and dedication to teaching, he actively contributes to curriculum development, preparing future cybersecurity experts for emerging challenges.

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A Novel Hybrid Algorithm for Effective Image Restoration

Authors

DOI:

Keywords:

Abstract

Author Biographies

Hewa Majeed Zangana, IT Dept., Duhok Technical College, Duhok Polytechnic University, Duhok, Iraq

Firas Mahmood Mustafa , Chemical Engineering Dept., Technical College of Engineering, Duhok Polytechnic University, Duhok, Iraq

Marwan Omar , ITM Department, Illinois Institute of Technology, Chicago, USA

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