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Published June 5, 2024 | Version v1
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Enhancing Clarity with Techniques for Recognizing Blurred Objects in Low Quality Images Using Python

  • 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

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