Distortion-free multiple images sharing scheme with universal share

Recently, Fang and Lin proposed a multiple images sharing system with a universal share. This universal share can be used for a company's organizer to attend the recovery meeting of any shared images. Since the organizer only needs to keep the unique share, it reduces the difficulties of the sh...

Full description

Saved in:
Bibliographic Details
Main Authors: Hsu, S.J., Chuan-Feng Chiu, Sen-Ren Jan, Chia-Tai Chan
Format: Conference Proceeding
Language:English
Subjects:
Automatic testing
Biomedical informatics
Cognition
Fuzzy systems
Medical services
Medical tests
Mood
Psychiatry
Psychology
System testing
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Recently, Fang and Lin proposed a multiple images sharing system with a universal share. This universal share can be used for a company's organizer to attend the recovery meeting of any shared images. Since the organizer only needs to keep the unique share, it reduces the difficulties of the share management of the organizer. However, the universal share is embedded into a secret by the least-significant-bits (LSB) substitution method before evaluating all the shares of the secret. The secret image becomes a distortion image. The original secret cannot be reconstructed without loss. In this paper, we present a distortion-free sharing scheme for the sharing of multiple images. Instead of using LSB to embed a universal share, all the bits of the secret image and the universal share are used to generate the coefficients of sharing polynomials. Moreover, this paper employs the Galois Field GF(2 8 ) instead of GF(251). Since all the information of the security image is hiding in those polynomials, the original secret can be revealed without any distortion.
DOI:10.1109/JCPC.2009.5420069