Cloning an Image using Hybrid Approach

In the modern era majority of the people are addicted to social media. People are more interested towards keeping profile pictures in their social media sites due to some abuse of their images by some people.This article explores and implements how an image looks like after converting in to cartoon with different face expressions and pencil art. Previous work on cartoon image conversion and pencil art conversion was developed for only cartoon images but no edge clarity and richness in edge quality and discontinuous lines with no face expression change. The main goal of this work is to propose a model that dynamically takes the input image from the user and produces the output image of cartoon image with change in face expression and pencil art. This model is implemented using k-means clustering and media pipe for face mesh to identify the multiple face landmarks for cartoon conversion and scipy is used for converting the image in to pencil art. And streamlit an open-source framework is used for developing this model. This model allows user to choose the type of conversion and give an input an image so that it produces the output of either pencil art or cartoon image with face expression conversion.