umar07/Image_Forgery_Detection
Reproduced Code for Image Forgery Detection papers.
This project helps identify manipulated images that have been altered through methods like copying and pasting parts of the image or splicing elements from different sources. It takes an image as input and determines if it's a forgery, sometimes even highlighting the tampered area. This is useful for anyone needing to verify the authenticity of digital photographs, such as photojournalists, legal professionals, or content moderators.
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Use this if you need to automatically detect whether a digital image has been subtly altered, even in ways that are hard for the human eye to spot.
Not ideal if you are looking to edit images or need to detect very obvious, low-quality manipulations.
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Last pushed
Sep 22, 2021
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