DEEP LEARNING – POWERED GRAYSCALE TO COLOR CONVERSION USING OPEN CV

Author(s)	Y.Bhanu Prakash Reddy, Y.V.N.Prem Kumar, U.Sri Hari, K.Saranya
Country	India
Abstract	Colorization of grayscale images is a challenging and fascinating problem in computer vision. This project leverages deep learning techniques, specifically convolutional neural networks (CNNs), to automatically convert grayscale images into colorized versions. Utilizing OpenCV and pre-trained deep learning models such as DeOldify or the Colorful Image Colorization model, we achieve high-quality image colorization with minimal user intervention. The model learns color distributions from large datasets and intelligently predicts realistic colors for grayscale images. This approach finds applications in restoring old photographs, enhancing medical imaging, and improving visual aesthetics in various fields.
Keywords	Grayscale Images Converting to Color,Image Colorization,Machine learning.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 16, Issue 1, January-March 2025
Published On	2025-03-22
Cite This	DEEP LEARNING – POWERED GRAYSCALE TO COLOR CONVERSION USING OPEN CV - Y.Bhanu Prakash Reddy, Y.V.N.Prem Kumar, U.Sri Hari, K.Saranya - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2674
DOI	https://doi.org/10.71097/IJSAT.v16.i1.2674
Short DOI	https://doi.org/g892fm

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