2015
DOI: 10.1007/s11554-015-0540-4
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An enhanced threshold visual secret sharing based on random grids

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Cited by 111 publications
(66 citation statements)
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References 24 publications
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“…Experimental results of (3,4) threshold PSIS based on Shamir's proposed PSS are given in Figure 1. Secret image S is shown in Figure 1a.…”
Section: Polynomial-based Secret Image Sharingmentioning
confidence: 99%
See 1 more Smart Citation
“…Experimental results of (3,4) threshold PSIS based on Shamir's proposed PSS are given in Figure 1. Secret image S is shown in Figure 1a.…”
Section: Polynomial-based Secret Image Sharingmentioning
confidence: 99%
“…Currently, there are two main categories in the field of SIS: visual cryptography scheme (VCS) [1][2][3] and polynomial-based SIS (PSIS). The best advantage of VCS is the stack-to-see property, which means the secret information can be visually recognized by human visual system (HVS) just with sufficient shares stacking.…”
Section: Introductionmentioning
confidence: 99%
“…In the last paper of the first theme entitled ''An enhanced threshold visual secret sharing based on random grids'' by Yan et al [6], a new threshold random grids (RG)-based VSS scheme is presented to improve the visual quality of the previewed image. Compared with previous schemes, they proposed that a scheme can gain better visual quality in the reconstructed images as well as (k, n) threshold.…”
Section: Real-time Data Hiding and Visual Cryptographymentioning
confidence: 99%
“…Since then, many interesting schemes were proposed in recent years i.e. Guo et al [33], Wu and Sun [34], Shyu [35] and Yan et al [36] to improve the first scheme by Chen and Tsao [22]. They all focused on the threshold RG-based VCS, regarded as the basis for GAS-VCS and other applications.…”
Section: Introductionmentioning
confidence: 99%
“…Based on this observation, he improved the contrast by using some pixels in the first k pixels to replace the last n-k pixels, leading to increase the chance for the participants to hold the pixels in the (k, k)-VCS. Furthermore, Yan et al [36] enhanced the visual quality by changing the last n-k pixels from selecting the first k pixels one by one, through which the probability of covering the first k pixels in the recovered image is improved.…”
Section: Introductionmentioning
confidence: 99%