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A Deep Learning Model to Inspect Image Forgery on SURF Keypoints of SLIC Segmented Regions
2024
Engineering, Technology & Applied Science Research
Copy-Move Forgery (CMF) is a common form of image manipulation attack that involves copying and pasting a part of an image to another position within the same image. This study proposes a Deep Learning (DL) model for detecting CMF, particularly in the presence of various malicious attacks. The proposed approach involves several steps, including converting the input image to grayscale, preprocessing the image using the Simple Linear Iterative Clustering (SLIC) algorithm to generate superpixel
doi:10.48084/etasr.6622
fatcat:cgy64qqcxvfsvbwbufs65fklv4