Reversible steganography using extended image interpolation technique. (August 2015)

• Record Type: Journal Article
• Authors: Hu, Jie; Li, Tianrui
• Is Part Of: Computers & electrical engineering. Volume 46(2015)
• Page Start: 447
• Page End: 455
• Publication Date: 2015-08
• Subjects: Steganography -- Image interpolation -- High payload -- Peak signal-to-noise ratio -- Neighboring pixels; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2015.04.014
• Languages: English
• ISSNs: 0045-7906

Abstract

Graphical abstract: Highlights: By analysis of statistical properties of adjacent pixels as well as image interpolation techniques, a novel interpolation method is put forward. Under the conditions of ensuring the image quality, the proposed image interpolation method maximizes the difference values between neighboring pixels and improves the capacity. The proposed scheme still has the advantage of lower computing complexity and better results between interpolating pixels. The experimental results show that the performance of the proposed method is superior to several state-of-the-art methods. Abstract: Steganography has become a hot topic in information hiding, and the reversibility technology allows the recovery of the original image without distortion when the embedded secret information is extracted. In this paper, a high payload image steganographic scheme based on an extended interpolating method is proposed. In the premise of image quality assurance, the proposed scheme increases the capacity by maximizing the difference between neighboring pixels. Meanwhile, it has low complexity and retains good image quality. Extensive experiments on images have been conducted and the experimental results demonstrate that the proposed approach performs better than several state-of-the-art methods.