Copy move image forgery detection based on Polar Fourier representation

Yitian Wang, Sei Ichiro Kamata

研究成果: Article査読

2 被引用数 (Scopus)

抄録

With the rapid development of multimedia technology, it's easy for someone to obtain an image and edit it according to their own preferences or some ulterior purpose. Copy-Move is a common type of digital image forgery where a part of the original image is copied and pasted at another position in the same image. In this paper, we propose an efficient methodology for enhancing block matching based on Copy-Move forgery detection. The main contribution of this work is the utilization of polar representation to get the representative features for each block. The main feature used in this paper is the frequency of each block based on Fourier transform. The experimental results show the efficiency of the proposed method for detecting copy-move regions, even when the copied region has undergone severe image manipulations such as rotation, scaling, Gaussian blurring, brightness modification, JPEG compression and noise addition.

本文言語English
ページ(範囲)158-163
ページ数6
ジャーナルInternational Journal of Machine Learning and Computing
8
2
DOI
出版ステータスPublished - 2018 4 1

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 情報システムおよび情報管理
  • 人工知能

フィンガープリント

「Copy move image forgery detection based on Polar Fourier representation」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル