A Novel Approach for Copy-move Forgery Detection using Bilateral Filtering

İşıl Karabey Aksakalli,İşın Erer,Uğur Kiliç,Nur Hüseyin Kaplan

doi:10.17694/bajece.651435

Abstract

Digital image processing methods have a wide area of usage and their complexity is increasing, as well as the tampering methods. A widely used tampering method is copy-move forgery. In this study, a hybrid method combining the DCT and Bilateral filtering is developed. In this method, first overlapping blocks are obtained from the input image. Then, bilateral filtering and DCT of these blocks are multiplied to obtain the refined block features. The block features are scanned by a zig-zag process followed by a lexicographic sorting. Finally, a similarity detection by a predetermined threshold parameter is applied to detect the forgery. Both visual and quantitative results demonstrated that the proposed method can determine the copy-move forgery regions.

Highlights

NOWADAYS, digital images are used in important areas such as medical, law and public
Image fraud detection methods are generally divided into two categories as active and passive approaches
A block-based method is proposed for the first time using Discrete Cosine Transform (DCT) and Bilateral filtering to detect copy-move forgery

Summary

Introduction

NOWADAYS, digital images are used in important areas such as medical, law and public. Digital images can be manipulated and regulated by malicious people using various image regulation software tools. With the emergence of this software, the reliability of the images and their authentication have become an important problem. Image fraud detection has become an important research focus. Image fraud detection methods are generally divided into two categories as active and passive approaches.

Methods

Results

Conclusion