Title :
Improved Halftone Data Hiding Scheme Using Hilbert Curve Neighborhood Toggling
Author :
Lien, Brian K. ; Lan, Zhi-Lin
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., FuJen Catholic Univ., Taipei, Taiwan
Abstract :
In this paper, we examine the effects of embedding in randomly selected locations and present a simple but novel high capacity data hiding method for halftone images. Data hiding smart pair toggling (DHSPT) is a flexible method for hiding data directly into halftone images in high embedded capacity applications. It embedded data into randomly selected locations, having the chance of forced single-pixel toggling especially when the payload increases. The proposed method avoids the chance of forced single-pixel toggling by selecting the best pair of connected neighboring pixels out of a sequence of candidate pairs along Hilbert curve for a to-be-embedded bit. The proposed method can significantly improve the visual quality of marked halftone images especially for high-capacity data hiding.
Keywords :
Hilbert transforms; data encapsulation; image processing; DHSPT; Hilbert curve neighborhood toggling; data hiding smart pair toggling; halftone data hiding scheme; halftone images; randomly selected locations; visual quality; Humans; Image processing; Indexes; PSNR; Payloads; Visualization; Data hiding; Halftone; Hilbert Curve;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2011 Seventh International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-1397-2
DOI :
10.1109/IIHMSP.2011.15