Sunday 21st of January 2018

Suggested method for Estimating Maximum Capacity of images for different intensities

Thekra Abbas, Zou Beiji and Ongalo P.N.Fedha

Digital watermarking has been proposed as a viable solution to the need of copyright protection and authentication of multimedia data in a networked environment, since it makes possible to identify the author, owner, distributor or authorized consumer of a document. Watermarking payload is a topic in which the watermarking researchers have a great interest at present. In this paper, we estimate the maximum watermarking data hiding capacity or the maximum number of bits that can be embedded in spatial domain images under the constraint of perceptual invisibility in the carriers. We studied the maximum payloads under different intensities and verified its effectiveness through experiments The purpose of the paper, which was to provide a payload reference for watermarking researchers, was achieved by studying the maximum payloads which is related to factors, in addition to the embedding intensity, such as the size of image, image roughness and visual sensitivity.

Keywords: : Peak Signal to Noise Ratio(PSNR), Human Visual System(HVS), Mean Square Error(MSE)

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Thekra Abbas
abbas BSc in computer science, from University of Technology in Baghdad 1987. MSc in computer science from Al-Mustanseriah University in Baghdad 2005. Since 2009, Eng. She is studying now towards her PhD degree at the School of Information Science and Engineering , Central South University, Changsha, China. She served as Head of the Computer Laboratories in the College of Science in Al-Mustanseriah University from 1997 to 2003. She worked as a lecturer and associate professor in Al-Mustanseriah University, Baghdad, Iraq from 2005 to 2009. Her research interest includes Image processing, Information Hiding .

Zou Beiji
Baiji1978 – 1982 Zhejiang University, Hangzhou, China BSC Computer Software.1982 – 1984 Qinghua University, Beijing, China. MSc Computer Application.1997 – 2001 Hunan University, Changsha, China. Ph.D. Control Theory and Engineering• Research Experience. 2002 – 2003 Qinghua University Post Doctor. 2003 – 2004 Griffith University, Australia. Visiting Scholar. Vice Dean of School of Information Science and Engineering, Central South University, China. His research interest includes Digital image processing, Computer Graphics, Multi-Media Technology and Software Engineering

Ongalo P.N.Fedha
BSc and MSc in computer science from Nairobi University, Kenya in 1998 and 2008. Since 2009, Eng. Now she is studying her PhD degree at the School of Information Science and Engineering , Central South University, Changsha, China

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