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Image Manipulation Detection System: Exposing AI-Generated Image Forgeries
Alagha, Mawaddah Sharab, Leen
Alagha, Mawaddah
Sharab, Leen
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Abstract
Image Manipulation Detection System
The rapid advancement of AI technologies has brought about a new era of dig-
ital creativity, enabling the creation and manipulation of images. However, this
progress also presents a double-edged sword as it opens avenues for misuse, particu-
larly in the fabrication of digital imagery for malicious purposes. The development
of effective image manipulation detection systems is crucial in safeguarding against
the growing problem of digital image fraud. This project aims to develop a sophis-
ticated image manipulation detection system, designed for integration into both
a web application and a Chrome extension. The tool will be an essential weapon
in the fight against the spread of misleading visual content, providing users with
a reliable way to verify the authenticity of images they encounter online. We will
employ an advanced algorithm and train a machine learning model to distinguish
between authentic and manipulated images. The application will include a feature
for users to upload images, after which the system will analyze and determine the
authenticity of the submitted image. The results, indicating whether the image is
genuine or altered, will then be displayed to the user.