Automatic Image Colourizer
This addresses the need for automated image colourization, but it appears incremental as it applies existing CNN methods to this task.
The paper tackles the problem of automatically colourizing grayscale images without human intervention, achieving what they describe as trailblazing results through a convolutional neural network trained on thousands of images.
In this project we have designed and described a model which colourize a gray-scale image, with no human intervention. We propose a fully automatic process of colouring and re-colouring faded or gray-scale image with vibrant and pragmatic colours. We have used Convolutional Neural Network to hallucinate input images and feed-forwarded by training thousands of images. This approach results in trailblazing results.