A Comparison between Using SIFT and SURF for Characteristic Region Based Image Steganography
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.
Keywords: Adaptive steganography; Information hiding; SIFT; SURF; Steganography.
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ABOUT THE AUTHORS
Nagham Hamid
University Malaysia Perlis(UniMAP)
Abid Yahya
University Malaysia Perlis(UniMAP)
R. Badlishah Ahmad
University Malaysia Perlis(UniMAP)
Osamah M. Al-Qershi
University of Science Malaysia (USM)
Nagham Hamid
University Malaysia Perlis(UniMAP)
Abid Yahya
University Malaysia Perlis(UniMAP)
R. Badlishah Ahmad
University Malaysia Perlis(UniMAP)
Osamah M. Al-Qershi
University of Science Malaysia (USM)