Cartoonifying an Image Using Deep Learning

Cartoonifying an image using deep learning involves transforming a real photograph into a cartoon-like representation, leveraging neural networks to capture artistic features. The process typically begins with a convolutional neural network (CNN) that learns to identify key elements such as edges, colors, and textures in the image. First, the input image is processed to enhance its edges and simplify details, often using techniques like bilateral filtering. Then, the network applies style transfer techniques, borrowing artistic styles from various cartoon artworks. The result is an output that retains the subject’s likeness while adopting exaggerated features, bold colors, and smooth contours typical of cartoons. This approach not only automates the cartoonification process but also allows for customization by tuning the model to achieve different artistic effects.