Image Steganography Optimization Technique

Bassam Mohd; Sa’ed Abed; Bassam Al-Naami; Sahel Alouneh

Signal Processing and Information Technology. First International Joint Conference, SPIT 2011 and IPC 2011, Amsterdam, The Netherlands, December 1-2, 2011, Revised Selected Papers

Research Article

Image Steganography Optimization Technique

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@INPROCEEDINGS{10.1007/978-3-642-32573-1_35,
    author={Bassam Mohd and Sa’ed Abed and Bassam Al-Naami and Sahel Alouneh},
    title={Image Steganography Optimization Technique},
    proceedings={Signal Processing and Information Technology. First International Joint Conference, SPIT 2011 and IPC 2011, Amsterdam, The Netherlands, December 1-2, 2011, Revised Selected Papers},
    proceedings_a={SPIT \& IPC},
    year={2012},
    month={10},
    keywords={Steganography Image Processing Quantization},
    doi={10.1007/978-3-642-32573-1_35}
}

Bassam Mohd
Sa’ed Abed
Bassam Al-Naami
Sahel Alouneh
Year: 2012
Image Steganography Optimization Technique
SPIT & IPC
Springer
DOI: 10.1007/978-3-642-32573-1_35

Bassam Mohd¹, Sa’ed Abed¹, Bassam Al-Naami¹, Sahel Alouneh²

1: Hashemite University Zarqa
2: German-Jordan University

Abstract

This paper presents a novel steganography technique which combines Discrete Cosine Transform (DCT) and Least Significant Bit (LSB). The objective is to maximize the capacity and invisibility of the secret image with minimal modification to the cover image (at most k-bits per block). The secret image is transformed to frequency domain using DCT. An algorithm is employed to construct the optimum quantization to embed the DCT coefficients in k-bits. The k-bits are then hidden in the LSBs of the cover image. The performance (capacity and peak signal-to-noise ratio) of the proposed method is compared with LSB.

Keywords: Steganography Image Processing Quantization

Published: 2012-10-08

: http://dx.doi.org/10.1007/978-3-642-32573-1_35