Comprehensive Analysis of Natural Images and Synthetic Images

N atural photos depict real-world scenes, including still images and videos captured by cameras. They are drawn from elements of nature such as colors, textures and shapes. Realistic computer graphics (CG) are increasingly popular due to technology. CG images are made using software like 3D modeling. They range from animation to concept in media such as movies and games. These images are imperceptible to the naked eye. Differentiating between computer-generated (CG) and natural images (NI) poses a challenge in the field of digital forensics. CG images often lack metadata, impeding the discovery process. Watermarked CG images attempt to mimic natural ones but are limited in their usability. They're often stored in proprietary formats, not indexed by search engines. Interest in NI and CG image recognition has surged. The goal of making computer-generated images as realistic as NI is challenging. Photorealistic CG imagery transforms multimedia, simplifying realistic animations. This aids entertainment, media, and other industries. This article provides a comprehensive overview of the most popular and cutting-edge methods now in use for differentiating between natural images and Computer-Generated Images, as well as the benefits and drawbacks of these methods and their potential future directions.