Article citationsMore>>

Shurman, M., Al-Mistarihi, M., Mohammad, A., Darabkh, K. and Ababnah, A. (2013) Hierarchical Clustering Using Genetic Algorithm in Wireless Sensor Networks. Proceedings of 36th IEEE International Convention on Information and Communication Technology, Electronics and Microelectronics, Opatija, 20-24 May 2013, 479-483.

has been cited by the following article:

• TITLE: Block-Based Steganographic Algorithm Using Modulus Function and Pixel-Value Differencing

  AUTHORS: Ahlam K. Al-Dhamari, Khalid A. Darabkh

  KEYWORDS: Data Hiding, Steganography, Watermarking, Pixel-Value Differencing, Modulus Function, Performance Metrics

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.10 No.1, January 24, 2017

  ABSTRACT: The main purpose in developing the steganographic algorithms lies in achieving most of the steganographic objectives which comprise the embedding capacity, imperceptibility, security, robustness and complexity. In this paper, we propose a high quality steganographic algorithm using new block structure which makes a good use of both modulus function and pixel-value differencing, namely, MF-PVD. We have made many experiments with various test images from several galleries, such as USC-SIPI and UWATERLOO-LINK. The performance of our proposed algorithm is verified using three different performance metrics which include peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM), and embedding capacity (EC). Experimental results and comparisons with six pertinent state-of-art algorithms are given to prove the validation and efficiency of the proposed algorithm.