A Data Embedding Scheme for Color Images Based on Genetic Algorithm and Absolute Moment Block Truncation Coding

ASIAIR > College of Computer Science > Department of Computer Science and Information Engineering > Journal Artical > Item 310904400/6362

Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/6362

Title:	A Data Embedding Scheme for Color Images Based on Genetic Algorithm and Absolute Moment Block Truncation Coding
Authors:	Chang, C. C.;Chen, Y. H.;Lin, C. C.
Keywords:	Data embedding;Steganography;Genetic algorithm;Block truncation code;Modification direction
Date:	2009-02
Issue Date:	2009-12-17 06:57:32 (UTC+0)
Publisher:	Asia University
Abstract:	Recently, embedding a large amount of secret data into gray-level and color images with low distortion has become an important research issue in steganography. In this paper, we propose a data embedding scheme by using a well-known genetic algorithm, block truncation code and modification direction techniques to embed secret data into compression codes of color images to expand the variety of cover media. In the scheme, the common bitmap generation procedure of GA-AMBTC has been modified to speed up the hiding procedure. Two embedding strategies are proposed to hide secret data into the common bitmap and the quantization values in each block of the cover image. Experimental results confirm that the proposed scheme can provide high data capacity with acceptable image quality of the stego-images. Moreover, the compression ratio of the scheme is exactly the same as that of GA-AMBTC so that attackers cannot detect any trace of hidden data from the size of the modified compressed result.
Relation:	Soft Computing 13(4):321-331
Appears in Collections:	[Department of Computer Science and Information Engineering] Journal Artical

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