High Quality Image Steganography on Integer Haar Wavelet Transform Using Modulus Function

Prajanto Wahyu, Adi and Farah Zakiyah, Rahmanti and Nor Azman, Abu (2016) High Quality Image Steganography on Integer Haar Wavelet Transform Using Modulus Function. 2015 International Conference On Science In Information Technology (ICSITech). pp. 79-84. ISSN 978-147998386-5

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Abstract

A high demand on digital information in the last decade raises serious concern to protect its secrecy. Digital steganography hides the presence of a message in order to avoid an adversary attention. An image is the most popular medium of steganography. Hiding data into wavelet coefficients are able to maintain image quality. An Integer Haar Wavelet Transform (IHWT) is a method that transforms a 2D image into wavelet coefficients. IHWT which is derived from Discrete Wavelet Transform (DWT) can been suited to a human visual system (HVS). Moreover, IHWT coefficients are represented in finite precision which avoids the floating point problem of DWT. This paper proposes on improving the quality of stego image from the previous method that uses coefficient difference (CD) on IHWT. Instead of using CD that calculates the difference between coefficients, this paper uses the modulus function on two adjacent coefficients to embed the message. The proposed method has successfully reduced the effect on adjusted coefficients between two adjacent coefficients. This technique has led to an improvement on the stego image quality. The experimental results shows that the proposed method achieved higher imperceptibility than the previous method.

Item Type: Article
Uncontrolled Keywords: steganography; integer wavelet transform; modulus function; 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: 27 Sep 2016 00:22
Last Modified: 11 Sep 2021 18:21
URI: http://eprints.utem.edu.my/id/eprint/17205
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