Colorization of Images on Web: An Innovative Model


Authors : K. Bhavan Narayana; K. Muddukrishna; K. Taruna Sri; B.Gayatri; M. N. S. Sai Santoshi; V. V. S. Krishna

Volume/Issue : Volume 8 - 2023, Issue 11 - November

Google Scholar : https://tinyurl.com/yc3atjyz

Scribd : https://tinyurl.com/3s947hrx

DOI : https://doi.org/10.5281/zenodo.10255312

Abstract : Image colorization is a commonly used method that enhances the visual appeal and makes black-and-white photos more immersive by adding brilliant, lifelike colors. An overview of colorization techniques designed mainly for online platforms is given in this abstract, which concentrates on user-friendliness that makes colorization simple and accessible to a large section of users. All things considered, online coloring tools provide a simple and easy way for people to convert monochrome photographs into colorful ones. Using the emerging web technologies in the current world we can make use of it completely and amalgamate it with the image colorization technique to develop a Web-Based Image colorization platforms. As web technologies grow and improve the immersive experience for users worldwide, expect more advancements in web-based image colorization.

Image colorization is a commonly used method that enhances the visual appeal and makes black-and-white photos more immersive by adding brilliant, lifelike colors. An overview of colorization techniques designed mainly for online platforms is given in this abstract, which concentrates on user-friendliness that makes colorization simple and accessible to a large section of users. All things considered, online coloring tools provide a simple and easy way for people to convert monochrome photographs into colorful ones. Using the emerging web technologies in the current world we can make use of it completely and amalgamate it with the image colorization technique to develop a Web-Based Image colorization platforms. As web technologies grow and improve the immersive experience for users worldwide, expect more advancements in web-based image colorization.

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