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Image Colorization: Bringing Grayscale Images to Life using Deep Learning and Computer Vision
Author Name : Saksham Arora, Bhaskar Kapoor
ABSTRACT
The field of machine learning with deep learning has been used to improve so many fields, be it healthcare, education, technology, etc. This is because of the extensive research being done and creative and unimaginable solutions coming forth every day. Image colorization is also one such technique that uses the power of computer vision along with deep learning to solve a previously unimaginable task. Image colorization is a technique for applying color to a grayscale image to make the image more beautiful and sharp. Grayscale graphics, also known as "black and white" images, are common in older multimedia content. In this paper, a fully automated data-driven deep learning solution for coloring grayscale photos using the capabilities of convolutional neural networks is implemented taking inspiration from the encoder-decoder neural network architecture.
Keywords — Image Colorization, Computer Vision, Deep Learning, Image Processing, Convolutional Neural Networks