Seamless Copy Move Manipulation in Digital Images

TL;DR

This paper introduces a frequency domain method using discrete wavelet transform for seamless copy-move image forgery, demonstrating its ability to create realistic forgeries that resist existing detection techniques.

Contribution

The paper presents a novel DWT-based technique for creating seamless copy-move forgeries in images, highlighting the need for more robust detection methods.

Findings

The method effectively creates seamless forgeries in the frequency domain.

It demonstrates resistance against two existing forgery detection methods.

The approach emphasizes the importance of developing advanced detection techniques.

Abstract

The importance and relevance of digital image forensics has attracted researchers to establish different techniques for creating as well as detecting forgeries. The core category in passive image forgery is copy-move image forgery that affects the originality of image by applying a different transformation. In this paper frequency domain image manipulation method is being presented.The method exploits the localized nature of discrete wavelet transform (DWT) to get hold of the region of the host image to be manipulated. Both the patch and host image are subjected to DWT at the same level $l$ to get $3l + 1$ sub-bands and each sub-band of the patch is pasted to the identified region in the corresponding sub-band of the host image. The resultant manipulated host sub-bands are then subjected to inverse DWT to get the final manipulated host image. The proposed method shows good resistance against detection by two frequency domain forgery detection methods from the literature. The purpose of this research work is to create the forgery and highlight the need to produce forgery detection methods that are robust against the malicious copy-move forgery.