Frequency and spatial domain-based image authentication and tampering detection

Nidaa Hasan Abbas; Sharifah Mumtazah Syed Ahmad; Sajida Parveen; Wan Azizun Wan; Abd. Rahman Bin Ramli

Author(s)

Nidaa Hasan Abbas Department of Computer and Communication System Engineering, Universiti Putra Malaysia Serdang,Selangor,Malaysia; Electrical Department, Almustansirya University, Baghdad, Iraq

Sharifah Mumtazah Syed Ahmad Department of Computer and Communication System Engineering, Universiti Putra Malaysia Serdang,Selangor,Malaysia; Research Center of Excellence for Wireless and Photonic Network, Serdang 43400, Malaysia

Sajida Parveen Faculty of Electrical, Electronics and Computer Systems Engineering, Quaid-e-Awam University of Engineering Science and Technology, Nawabshah 67450, Pakistan

Wan Azizun Wan Department of Computer and Communication System Engineering, Universiti Putra Malaysia Serdang,Selangor,Malaysia

Abd. Rahman Bin Ramli Department of Computer and Communication System Engineering, Universiti Putra Malaysia Serdang,Selangor,Malaysia

Abstract

In this research, an efficient self-embedding algorithm for image authentication and tamper detection and localisation in the frequency and time domain is proposed. For more detection accuracy, two fragile watermarks are generated from the original image and are embedded into the same image. The first watermark is generated in the time domain using block wise method and embedded in the Least Significant Bits (LSB) of the same derived block while the other watermark is generated and embedded into the frequency domain utilising Bi- Empirical Mode Decomposition (BEMD). To ensure that the security requirements of the algorithm are met, a block encryption technique is employed whereby a password chosen by the user is encrypted and used as a key. The algorithm has been subject to several tampering attacks and has been proven very efficient in terms of processing high-quality watermarked images with high security and the capability to detect small tampered areas at pixel level.

Publication Details

Page(s) 343-352

DOI DOI not available

Published Journal: Science International, Volume: 33, Issue: 4, Year: 2021

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Keywords

Image authentication, Fragile watermark, Image watermarking, BEMD., Image tampering