Image Cartoonization

Abstract

This project presents an approach for cartoonizing digital images using the OpenCV library. Unlike traditional manual methods or complex deep learning models, this system utilizes a structured combination of classical image processing filters like Bilateral, Gaussian and Median to generate high-quality cartoon effects. Each filter is layered in a specific sequence to enhance features and produce a visually appealing, cartoon-like output. The approach balances performance and quality, offering fast processing suitable for real-time applications. This framework is flexible, extendable, and can serve both as a standalone module or an integrated component in broader computer vision systems.