Improved Adaptive LSB Steganography Based on Chaos and Genetic Algorithm. (20th June 2010)

• Record Type: Journal Article
• Authors: Yu Yu, Lifang Lifang; Zhao Zhao, Yao Yao; Ni Ni, Rongrong Rongrong; Li Li, Ting Ting
• Other Names: Du Du Yingzi Yingzi Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2010(2010)
• Publication Date: 2010-06-20
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2010/876946
• Languages: English
• ISSNs: 1687-6172

Abstract

Abstract : We propose a novel steganographic method in JPEG images with high performance. Firstly, we propose improved adaptive LSB steganography, which can achieve high capacity while preserving the first-order statistics. Secondly, in order to minimize visual degradation of the stego image, we shuffle bits-order of the message based on chaos whose parameters are selected by the genetic algorithm. Shuffling message's bits-order provides us with a new way to improve the performance of steganography. Experimental results show that our method outperforms classical steganographic methods in image quality, while preserving characteristics of histogram and providing high capacity.