Quality-adaptive visual secret sharing by random grids

Authors:
Tzung-Her Chen;Yao-Sheng Lee;Wei-Lun Huang;Justie Su-Tzu Juan;Ying-Yu Chen;Ming-Jheng Li
Affiliations:
Department of Computer Science and Information Engineering, National Chiayi University, Chiayi City 60004, Taiwan, ROC;Department of Computer Science and Information Engineering, National Chiayi University, Chiayi City 60004, Taiwan, ROC;Department of Computer Science and Information Engineering, National Chiayi University, Chiayi City 60004, Taiwan, ROC;Department of Computer Science and Information Engineering, National Chi Nan University, Puli, Nantou 54561, Taiwan, ROC;Department of Computer Science and Information Engineering, National Chi Nan University, Puli, Nantou 54561, Taiwan, ROC;Department of Computer Science and Information Engineering, National Chi Nan University, Puli, Nantou 54561, Taiwan, ROC
Venue:
Journal of Systems and Software
Year:
2013

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Abstract

Visual secret sharing (VSS), classified into visual-cryptography (VC)-based and random-grid (RG)-based, suffers from the contrast problem that the reconstructed secret with low visual quality is not easy to recognize. Even worse, the more share images stacked, the lower visual quality of reconstructed secrets revealed. Therefore, it is promising to remove this innate drawback. In this paper, with security still kept, the light transmission of share images generated by the proposed scheme is redesigned to be higher than before such that the better visual quality of reconstructed secrets is obtained. To demonstrate the feasibility, the experimental results show the reconstructed secrets are visually recognizable and the goal that the more share images stacked, the better quality of reconstructed secrets we have is achieved.