文章基本信息

标题：A Comparison between Using SIFT and SURF for Characteristic Region Based Image Steganography
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作者：Nagham Hamid ; Abid Yahya ; R. Badlishah Ahmad 等
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2012
卷号：9
期号：3
出版社：IJCSI Press
摘要：Steganography is the science of invisible communication that employs different useful applications. In most of the current steganography techniques, information hiding modifies almost all the cover image, which may negatively affect the visual quality of the image and increase the possibility of losing data after the possible attacks. To solve such a problem, this paper presents a new region based steganography technique, which hides data in the robust regions of the image. Two promising approaches have been used to detect the robust regions in the image: Scale Invariant Feature Transform (SIFT) and Speeded Up Robust Features (SURF). The robustness of the two algorithms has been tested against different types of attacks. Results showed that SURF based algorithm is better when detecting the robust regions correctly; its accuracy is higher in retrieving the embedded data and that the visual quality of the embedded image is high for both algorithms.
关键词：Adaptive steganography; Information hiding; SIFT; SURF; Steganography.