Classification of Boosting Image Performance Via Quality Enhancement and Swin Transformer

Authors

  • Saadi M. Saadi Informatics Institute of Postgraduate Studies, Iraqi Commission for Computers & Informatics, Baghdad, Iraq.
  • Waleed A. Mahmoud Al-Jawher College of Engineering, Uruk University, Baghdad, Iraq.

With the increasing use of the Internet and social media and the sharing of millions of images daily, the need to classify these images and collect them in groups has increased for easy searching and finding similar and related ones, which in turn facilitates the work of many researches and works in various fields. The study proposes a method to classify images accurately and efficiently by making modifications to the image that improve the accuracy of the image without distorting it or losing its most important features and using the Swin transformer. The Swin transformer effectively captures contextual information at multiple scales, which leads to improved feature extraction. In addition, improving the accuracy of images enhances the quality of the system's work and obtains the expected results. The method we used reached an amazing accuracy rate of over 90%. The new approach outperformed existing methods, indicating its success in recognizing and classifying images. Classification accuracy has important benefits in recognizing images and which category they belong to, thus greatly helping in making more accurate decisions.

Keywords:

Classification, Image Segmentation, Image Modification, Fake Images, Swin Transformer

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[104] Haqi Khalid, Shaiful Jahari Hashim, Fazirulhisyam Hashim, Waleed Ameen Mahmoud Al-Jawher, Muhammad Akmal Chaudhary, Hamza HM Altarturi “RAVEN: Robust Anonymous Vehicular End-to-End Encryption and Efficient Mutual Authentication for Post-Quantum Intelligent Transportation Systems” Publication date 2024/6/24, Journal IEEE Transactions on Intelligent Transportation Systems, Publisher IEEE, 2024.

[105] Jaafar Ahmed Abdulsaheb, Raghad Mohanned Nafea, Waleed Ameen Mahmoud Al-Jawher, Mohammed Lateef Hayyawi “IoT Based Smart Parking System” Authors Publication date 2024/6/28, Journal Journal Port Science Research, Volume 7, Issue 3, Pages . 196-203, 2024.

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[117] Qutaiba Kadhim Abed, Waleed Ameen Mahmoud Al-Jawher “A Secure and Efficient Optimized Image Encryption Using Block Compressive Sensing & Logistic Map Method” Journal of Cyber Security and Mobility, Vol. 13 5, 983–1006, 2024.

[118] Qutaiba Kadhim Abed, Waleed Ameen Mahmoud Al-Jawher “Enhanced Hyperchaotic Image Encryption with CAW Transform and Sea-Lion Optimizer” Journal of Cyber Security and Mobility, Vol. 13 5, 1207–1238, 2024.

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[120] Qutaiba Abed, Waleed Ameen Mahmoud Al-Jawher ” Image Encrypted Using Circular Map, Block Compressed Sensing and Hyper GWO-COOT Optimization” International Journal of Intelligent Engineering & Systems, [122] Volume 17, Issue 5, Pages 234-, 2024.

Classification of Boosting Image Performance Via Quality Enhancement and Swin Transformer. (2024). Journal Port Science Research, 7(3), .246-258. https://doi.org/10.36371/port.2024.3.12

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Classification of Boosting Image Performance Via Quality Enhancement and Swin Transformer. (2024). Journal Port Science Research, 7(3), .246-258. https://doi.org/10.36371/port.2024.3.12