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- Vol. 5 Issue 3
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Grayscale Image Colorization
Authors
123Students, Department of Computer Science and Engineering, School of Management Sciences Lucknow, Uttar Pradesh, India. 4Assistant Professor, Department of Computer Science and Engineering, School of Management Sciences Lucknow, Uttar Pradesh, India.
Article Information
- DOI
- No DOI
- Published In
- Volume 5, Issue 3 (2024)
- Published Online
- May-June 2024
- Pages
- 100-104
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
Abstract
View PDFAbstract: Grayscale image colorization is a challenging task in computer vision, with significant applications in various domains such as image restoration, enhancement, and historical image analysis. This research paper introduces an innovative approach to grayscale image colorization utilizing adaptive techniques. By leveraging a pre-trained deep learning model and incorporating adaptive colorization methods, our approach aims to enhance the quality and accuracy of colorization results. Experimental evaluation demonstrates the effectiveness of our method in producing vibrant and realistic colorized images, showcasing its potential for practical applications.
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