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Benchmarking Image Forgery Detection Tools by bawid31290 is a document available to read on EtoBox.
What is Benchmarking Image Forgery Detection Tools about?
This research addresses the challenges in scientific image integrity due to a lack of datasets for evaluating forgery detection techniques. The authors present an open-source algorithm library and a large benchmark dataset of 39,423 synthetically doctored scientific images to assess the performance of existing copy-move forgery detection methods. The findings indicate that current methods perform poorly, highlighting the need for specialized detectors tailored for scientific images.
- Author
- bawid31290
- Language
- EN