a1), {(b1)-(c1)}, (d1), (e1), and {(f1)-(g1)} shows copy-move forged

Copy-move forgery detection using binary discriminant features - ScienceDirect

GitHub - niyishakapatrick/Copy-move-forgery-detection-using-image-blobs-BRISK-features.: One of the most frequently used types of digital image forgery is copying one area in the image and pasting it into another area of the same image. This

Example for copy-move forgery from [MS07] (original image left

Robust dense‐field based copy‐move forgery localization using generic radial harmonic Fourier moment invariants - Atallah - Journal of Forensic Sciences - Wiley Online Library

Copy-move image forgery detection based on evolving circular domains coverage

Copy Move Image Forgery, PDF, Accuracy And Precision

Copy-move image forgery detection based on evolving circular domains coverage

FAST, BRIEF and SIFT based image copy-move forgery detection technique

PDF) Fast and Effective Image Copy-Move Forgery Detection via Hierarchical Feature Point Matching

Utilization of edge operators for localization of copy-move image forgery using WLD-HOG features with connected component labeling

Solved Exercise 3. Let b1 = (1,1,0,1), b2 = (-1,3,1, -2), b3

FAST, BRIEF and SIFT based image copy-move forgery detection technique

A new Copy-Move forgery detection method using LIOP - ScienceDirect

Copy-move forgery detection using binary discriminant features - ScienceDirect