A new inverse halftoning method using reversible data hiding for halftone images

Authors:
Jia-Hong Lee;Mei-Yi Wu;Hong-Jie Wu
Affiliations:
Department of Information Management, National Kaohsiung First University of Science and Technology, Kaohsiung, Taiwan;Department of Information Management, Chang Jung Christian University, Tainan, Taiwan;Department of Information Management, National Kaohsiung First University of Science and Technology, Kaohsiung, Taiwan
Venue:
EURASIP Journal on Advances in Signal Processing
Year:
2010

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Abstract

A new inverse halftoning algorithm based on reversible data hiding techniques for halftone images is proposed in this paper. The proposed scheme has the advantages of two commonly used methods, the lookup table (LUT) and Gaussian filtering methods. We embed a part of important LUT templates into a halftone image and restore the lossless image after these templates have been extracted. Then a hybrid method is performed to reconstruct a grayscale image from the halftone image. In the image reconstruction process, the halftone image is scanned pixel by pixel. If the scanned pattern surrounding a pixel appeared in the LUT templates, a gray value is directly predicted using the LUT value; otherwise, it is predicted using Gaussian filtering. Experimental results show that the reconstructed grayscale images using the proposed scheme own better quality than both the LUT and Gaussian filtering methods.