Work

Survey on blind image forgery detection

Year: 2013

Type: article

Abstract: With the mushroom growth of state‐of‐the‐art digital image and video manipulations tools, establishing the authenticity of multimedia content has become a challenging issue. Digital image forensics is an increasingly growing research field that symbolises a never ending struggle against forgery and tampering. This survey attempts to cover the blind techniques that have been proposed for exposing forgeries. This work dwells on the detection techniques for three of the most common forgery types, namely copy/move, splicing and retouching.

Source: IET Image Processing

DOI: 10.1049/iet-ipr.2012.0388

Authors: Tanzeela Qazi, Khizar Hayat, Samee U. Khan, Sajjad A. Madani, Imran A. Khan, Joanna Kołodziej, Hongxiang Li, Weiyao Lin, Kin Choong Yow, Cheng‐Zhong Xu

Institutions: COMSATS University Islamabad, North Dakota State University, Cracow University of Technology, University of Louisville, Shanghai Jiao Tong University, Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Wayne State University

Language: English

Topic: Digital Media Forensic Detection

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: Chinese Academy of Sciences

OpenAlex ID: W2139797253

FWCI: 7.041

Cites: 91

Cited by: 126

Related to: 10