Adaptive Partial Image Secret Sharing

• Main Authors: Xuehu Yan, Lei Sun, Yuliang Lu, Guozheng Yang
• Format: Article
• Language: English
• Published: MDPI AG 2020-05-01
• Series: Symmetry
• Subjects: symmetry; image secret sharing; partial image secret sharing; image inpainting; linear congruence; adaptive
• Online Access: https://www.mdpi.com/2073-8994/12/5/703

In contrast to encrypting the full secret image in classic image secret sharing (ISS), partial image secret sharing (PISS) only encrypts part of the secret image due to the situation that, in general, only part of the secret image is sensitive or secretive. However, the target part needs to be selected manually in traditional PISS, which is human-exhausted and not suitable for batch processing. In this paper, we introduce an adaptive PISS (APISS) scheme based on salience detection, linear congruence, and image inpainting. First, the salient part is automatically and adaptively detected as the secret target part. Then, the target part is encrypted into <i>n</i> meaningful shares by using linear congruence in the processing of inpainting the target part. The target part is decrypted progressively by only addition operation when more shares are collected. It is losslessly decrypted when all the <i>n</i> shares are collected. Experiments are performed to verify the efficiency of the introduced scheme.