Aspect ratio invariant visual cryptography by image filtering and resizing

Authors:
Ching-Nung Yang;Pin-Wei Chen;Hsiang-Wen Shih;Cheonshik Kim
Affiliations:
Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan;Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan;Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan;Department of Computer Engineering, Sejong University, Seoul, Korea
Venue:
Personal and Ubiquitous Computing
Year:
2013

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Abstract

In visual cryptographic scheme (VCS), each secret pixel is expanded to m subpixels in shadow images to encrypt a secret image. Apparently, we should put these m subpixels as a rectangle such that the blocks can be arranged compactly with each other. However, if the aspect ratio is viewed as important information of the secret image, the distortion occurs at the case that m is not a square. An aspect ratio invariant VCS (ARIVCS) was accordingly proposed to address the arrangement of subpixels. However, the existing ARIVCSs relied on adding dummy subpixels to the shadow images. In addition, their method needs a mapping pattern that reduces the number of dummy subpixels, but how to design a mapping pattern is a huge challenge. In this paper, we propose an easy solution to construct ARIVCS by image filtering and resizing.