A secret image sharing scheme for light images

Abstract

In this study, a new (r, n)-threshold secret image sharing scheme with low information overhead for images is provided, which has a low distortion rate, and is more applicable for light images. A secret image is encoded into n noise-like shadow images to satisfy the condition that any r of the n shares can be used to reveal the secret image, and no information on the secret can be revealed from any r -1 or fewer shares. The size of the shadow images is relatively small. The experimental results show the effectiveness of the proposed scheme.

A Secure Secret Image Sharing Scheme Without Safeguarding a Key

“…Firstly, we do a (2, 3) threshold secret image sharing example comparison between the two scheme. Then, we set a (4,6) threshold example to analyze the security of our scheme. In experiments, we treat the 24-bit color image as three separate gray images, just as three color layers (R, G, and B).…”

“…So, the secret image or data is lost. To solve this problem, the image secret sharing mechanism has been concerned widely [3][4][5][6][7]. The principle of the secret image sharing is to divide the secret image into n images called shadow images or shares which are totally irrelevant to the secret image.…”

A new (k,n) verifiable secret image sharing scheme (VSISS)

“…Hence the proposed method has the power to preclude cheating. On the other hand, the scheme [6,[8][9][10][11][12] does not support verification thus cannot prevent cheating. The length of the key (private/public) used in cheating prevention is shorter in comparison with Zhao et al's [7] scheme for same for the same degree of protection.…”

“…To further assess the performance of the proposed scheme, comparisons among the proposed scheme and the other related schemes [6][7][8][9][10][11] are listed in Table 3. The virtues of the proposed scheme are drawn as follows:…”

“…Thien's work attracted many researchers to suggest different techniques which are applied in the literature [7,8]. Recently, Wu [9] has smartly solved the ''truncation distortion'' problem.…”