Journal of Artificial Intelligence and Metaheuristics JAIM 2833-5597 10.54216/JAIM https://www.americaspg.com/journals/show/3821 2022 2022 An Efficient Detection of Copy-Move Forgery Using Phase Correlation Assistant Professor, Department of ECE, Knowledge Institute of Technology, Salem, Tamil Nadu, India L. L. Assistant Professor, Department of ECE, Knowledge Institute of Technology, Salem, Tamil Nadu, India V. Vadivu Assistant Professor, Department of Civil, Knowledge Institute of Technology, Salem, Tamil Nadu, India L. Krishnan Creating images is one of the focuses of digital image processing. There are multiple techniques to spot image fraud. This work proposes a new approach to detect attacks that mimic Copy-Move forgeries. The proposed method applies DWT on the input image to create a reduced dimensional representation of the image. After that, the compressed image is divided into overlapping blocks. After these blocks are sorted, phase correlation is utilized as a similarity criterion to find duplicate blocks. Due to DWT usage, the lowest-level picture representation is first employed for detection. This work also covers the examination of numerous limits that are imposed to the input image, and the results are used in the analysis that follows. 2025 2025 72 78 10.54216/JAIM.090107 https://www.americaspg.com/articleinfo/28/show/3821