Abstract
The (k,n)-threshold Secret Image Sharing scheme (SISS) is a solution to image protection. However, the shadow images generated by traditional SISS are noise-like, easily arousing deep suspicions, so that it is significant to generate meaningful shadow images. One solution is to embed the shadow images into meaningful natural images and visual quality should be considered first. Limited by embedding rate, the existing schemes have made concessions in size and visual quality of shadow images, and few of them take the ability of anti-steganalysis into consideration. In this paper, a meaningful SISS that is based on Natural Steganography (MSISS-NS) is proposed. The secret image is firstly divided into n small-sized shadow images with Chinese Reminder Theorem, which are then embedded into RAW images to simulate the images with higher ISO parameters with NS. In MSISS-NS, the visual quality of shadow images is improved significantly. Additionally, as the payload of cover images with NS is larger than the size of small-sized shadow images, the scheme performs well not only in visual camouflage, but also in other aspects, like lossless recovery, no pixel expansion, and resisting steganalysis.
Highlights
With the development of technology, other secret sharing schemes, including SSS based on polynomial (PSSS) [3], SSS based on Chinese Reminder Theorem (CRT-SSS) [4], visual cryptography or visual secret sharing (VC or VSS) [5], SSS based on boolean operation [6], have been proposed
The model of Natural Steganography (NS) is shown as Equation (6), and steganography is based on Syndrome-Trellis Codes (STC) [28]
A (k, n)-threshold meaningful secret image sharing scheme that is based on Natural
Summary
The acquisition and transmission of information exist in all aspects and all the time, so that information protection is increasingly important. With the development of technology, other secret sharing schemes, including SSS based on polynomial (PSSS) [3], SSS based on Chinese Reminder Theorem (CRT-SSS) [4], visual cryptography or visual secret sharing (VC or VSS) [5], SSS based on boolean operation [6], have been proposed Among these schemes, CRT-SSS has attracted the interests of researchers. Chen et al [11] exhibited a SISS based on CRT with small-sized shadow images by adding random bits to binary representations of random parameters in CRT. This scheme can make the shadow images flexible, and has no leakage of secret information. Chen et al.’s scheme will be employed to generate the small-sized shadow images
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