Al-Farg'oniy avlodlari (The descendants of Al-Fargani)
Published June 5, 2024 | Version v1
Journal article Open

Enhancing Clarity with Techniques for Recognizing Blurred Objects in Low Quality Images Using Python

Creators

  • 1. Candidate of Physics and Mathematics, Associate Professor, Ferghana Branch of the Tashkent University of Information Technologies named after Muhammad al-Khorazmi
  • 2. Senior lecturer of the Fergana branch of the Tashkent University of Information Technologies named after Muhammad al-Khorazmi
  • 3. Assistant of the Fergana branch of the Tashkent University of Information Technologies named after Muhammad al-Khorazmi

Description

This article explores methods for enhancing and recognizing blurred objects in low-quality images using Python. We delve into image processing techniques, machine learning algorithms, and deep learning models to restore and identify obscured objects. By examining existing literature and employing various Python libraries, we demonstrate practical implementations and their effectiveness. This study aims to provide a comprehensive guide for researchers and developers working with degraded visual data, presenting both theoretical insights and practical applications

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References

  • Akhundjanov, U., Soliyev, B., Kayumov, A., Kholmatov, A., Musayev, K., & Ermatova, Z. (2024). Distribution of local curvature values as a sign for static signature verification. In E3S Web of Conferences (Vol. 508, p. 03003). EDP Sciences.
  • Zulunov, R., Soliyev, B., Kayumov, A., Asraev, M., Musayev, K., & Abdurasulova, D. (2024, November). Detecting mobile objects with ai using edge detection and background subtraction techniques. In E3S Web of Conferences (Vol. 508, p. 03004). EDP Sciences.
  • Zulunov, R., Akhundjanov, U., Musayev, K., Soliyev, B., Kayumov, A., & Asraev, M. (2024, November). Building and predicting a neural network in python. In E3S Web of Conferences (Vol. 508, p. 04005). EDP Sciences.
  • Nabijonovich S. B., Muhammadyo'ldoshali A. Empowering Patient Diagnosis with Advanced Software in Healthcare //Miasto Przyszłości. – 2024. – Т. 48. – С. 201-205.
  • Nabijonovich S. B., Najmiddin G. OPTIMIZING PYQT5 DEVELOPMENT WITH QT DESIGNER //Web of Teachers: Inderscience Research. – 2024. – Т. 2. – №. 4. – С. 254-259.
  • Nabijonovich S. B., Kakhramonovna E. Z. RECOGNIZING OBJECTS IN IMAGES USING ARTIFICIAL INTELLIGENCE AND PYTHON //Galaxy International Interdisciplinary Research Journal. – 2023. – Т. 11. – №. 11. – С. 88-92.
  • Nabijonovich S. B. EMPOWERING VIDEO ANALYTICS WITH AI-DRIVEN TEXT RECOGNITION IN PYTHON FOR STREAMLINED INSIGHTS //Galaxy International Interdisciplinary Research Journal. – 2023. – Т. 11. – №. 11. – С. 25-30.
  • Soliev B. Python-Powered E-Commerce Solutions in Uzbekistan //Journal of technical research and development. – 2023. – Т. 1. – №. 1. – С. 51-54.
  • Soliev B. Python's Role in Revolutionizing E-Commerce in Uzbekistan //Journal of technical research and development. – 2023. – Т. 1. – №. 1. – С. 51-54.