Peccavi: Visual Paraphrase Attack Safe and Distortion Free Image Watermarking Technique for AI-Generated Images
Shreyas Dixit, Ashhar Aziz, Shashwat Bajpai, Vasu Sharma, Aman Chadha, Vinija Jain, Amitava Das
2025-07-02
Summary
This paper talks about PECCAVI, a new technique for watermarking images created by AI that makes sure the watermark stays intact even if the image is changed or edited. It hides the watermark in special parts of the image using advanced methods to keep it safe and invisible.
What's the problem?
The problem is that fake AI-generated images can be edited or altered to remove or damage watermarks, which are important for proving that an image was made by AI. Current watermarking methods can be weak and easily destroyed by simple image changes.
What's the solution?
The researchers designed PECCAVI to embed watermarks in 'Non-Melting Points' of the image using multi-channel frequency domain watermarking combined with a process called noisy burnishing. This makes the watermark very hard to remove or distort while keeping the image quality high and free from visible changes.
Why it matters?
This matters because reliable watermarking helps identify AI-generated images and prevents misuse like fake photos or misinformation. It supports trust and authenticity in digital content, which is important as AI-generated images become more common.
Abstract
PECCAVI is a robust image watermarking technique designed to withstand visual paraphrase attacks by embedding watermarks in Non-Melting Points using multi-channel frequency domain watermarking and noisy burnishing.