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The goal of this project is to take a real image as input and apply a series of image processing techniques to make it appear as if it's a cartoon. This involves simplifying the image by reducing details, enhancing edges, and applying vibrant colors to achieve a cartoon-like effect.
This repository features a web application for transforming images into captivating black and white cartoons. The backend is powered by Java utilizing the OpenCV library
Implemented a 5x5 Gaussian filter, 3x3 Sobel X and 3x3 Sobel Y, generated a gradient magnitude image from the X and Y Sobel images, blurred and quantized a color image, did live video cartoonization, put sparkles into the image where there are strong edges.
This Image-Toonification was done using GANS - A generative model that is able to generate new content. I used 99 cartooon styles to generate different cartoon structures. I have the original picture and the different cartoon structures in the output of the code. Please check the google colab attached in my repository.