Robust Digital Image Steganography Within Coefficient Difference On Integer Haar Wavelet Transform

Nur Azman , Abu and Prajanto Wahyu, Adi and Othman, Mohd (2014) Robust Digital Image Steganography Within Coefficient Difference On Integer Haar Wavelet Transform. International Journal Of Video & Image Processing And Network Security, 14 (2). pp. 1-8. ISSN 2227-2712

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The development of digital information has lead to increasing demands on information security technology in order to protect the confidentiality of information. Digital steganography is one of technologies that is capable of protecting the information from unauthorized interception. It is due to its capability to hide the embedded of the information without attracting the eavesdropper’s attention. Among digital media, digital image is the most widely used medium for steganography. Discrete Cosine Transform (DCT) is a well known technique in digital image steganography. The use of DCT on small blocks may pose blocking effects and unintended artifacts on the overall image. These disadvantages of DCT can be eliminated by using Discrete Wavelet Transform (DWT) which is more compatible with the Human Visual System (HVS). However the floating point of DWT can causes some loss of information. On the other hand, Integer Wavelet Transform (IWT) represented in finite precision can avoid the problem of floating point precision in DWT. In this paper, the messages are embedded on the 1-level Integer Haar Wavelet Transform (IHWT) using coefficient difference scheme that is adopted from Pixel Value Differencing (PVD). The messages are embedded on the difference values of two adjacent wavelet coefficients. The result shows that the proposed method can easily outperform the existing method that employ IHWT and Pixel Mapping Method (PMM) in term of imperceptibility as well as the maximum capacity.

Item Type: Article
Uncontrolled Keywords: steganography, watermarking, integer wavelet transform, image processing.
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Information and Communication Technology > Department of System and Computer Communication
Depositing User: Mohd Hannif Jamaludin
Date Deposited: 08 Aug 2016 07:49
Last Modified: 05 Sep 2021 15:34
Statistic Details: View Download Statistic

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