Objective: The objective of this project was to develop a robust method for Copy-Move Forgery Detection in digital images using Discrete Wavelet Transform (DWT), Scale-Invariant Feature Transform ...

Copy Move Image Forgery Detection is a Python project that detects if an original image has been tampered with using Block-based (DyWT) and Keypoint-based (SIFT) algorithms. It employs OpenCV for ...

As result of powerful image processing tools, digital image forgeries have already become a serious social problem. In this paper we describe an effective method to detect Copy-Move forgery in digital ...

This database provides different types of copy-move attacks which are 48 plain copy-move, where each image is tampered with a plain copy-move, rotation, where the tampered areas are rotated between 2° ...

[4] Image copy-move forgery detection and localization based on super-BPD segmentation and DCNN. Scientific Reports (2022). [5] A multi-model feature fusion based transfer learning with heuristic ...