Quality-adaptive visual secret sharing by random grids

Chen, Tzung‐Her; Lee, Yao-Sheng; Huang, Wei-Tzer; Juan, Justie Su-Tzu; Chen, Yingyu; Li, Ming-Jheng

doi:10.1016/j.jss.2012.12.022

Cited by 24 publications

(6 citation statements)

References 14 publications

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“…Here we have compared our proposed approach with two existing techniques [29 , 30] . Chen et al [30] presented a method for splitting a black and white secret image into multiple shares that, when overlapped a certain number

together, reveal the original image.…”

Section: Methods Validationmentioning

confidence: 99%

“…Any fewer than

grids will provide no information about the hidden image. Gupta et al [29] present a secure image sharing scheme that utilizes Shamir's secret sharing and neural cryptography for key generation. Neural cryptography offers a computationally efficient alternative to traditional public key cryptography, making it suitable for resource-constrained environments.…”

Section: Methods Validationmentioning

confidence: 99%

“…The comparison was done on (i) average PSNR, RMSE, and correlation values between input image and the encrypted shares (see Table 4 ), and (ii) PSNR, RMSE, and correlation values between the input image and the reconstructed output image (see Table 5 ). It can be seen that in same cases, the proposed method does better than the other techniques, e.g., in Table 4 it has a lower correlation than Gupta et al’s [29] method and a higher RMSE than both Gupta et al’s [29] and Chen et al’s [30] methods when comparing the input image with the encrypted shares. Overall, the proposed method does not manage to outperform existing approaches with respect to all the metrics.…”

Section: Methods Validationmentioning

confidence: 99%

See 2 more Smart Citations

MAN C: A masked autoencoder neural cryptography based encryption scheme for CT scan images

Kumar,

Tanwar,

Kumar

2024

MethodsX

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together, reveal the original image.…”

Section: Methods Validationmentioning

confidence: 99%

“…Any fewer than

Section: Methods Validationmentioning

confidence: 99%

Section: Methods Validationmentioning

confidence: 99%

See 1 more Smart Citation

MAN C: A masked autoencoder neural cryptography based encryption scheme for CT scan images

Kumar,

Tanwar,

Kumar

2024

MethodsX

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“…The the light transmission of constructed shares is greater as compared to earlier technique and also the visual quality of regenerated secrets is better. [14] Kai-Hui Lee et al proposed (n, n) NVSS scheme which enables us to share a secret image in digital form image using n -1 different natural images and one noise-like share. The natural image may be in any format like printed, digital etc.…”

Section: Related Workmentioning

confidence: 99%

A Survey on Sharing Secret Image using NVSS Scheme

Patel¹,

Rao²

2016

IJCA

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Secret sharing is of great importance for sharing secret or confidential information. This information can be in the form of documents, images, photographs and many more. Most of the previous visual secret sharing scheme uses shares to conceal secret images. The shares may be printed or in digital form. When the secret image is hidden into the shares, noiselike pixel appears which increase the risk of transmission. Attackers look at image having noise-like pixels with suspicion and try to intercept the image. Thus image having noise is not safe for transmission over network. Due to this transmission risk is involved in visual secret sharing. In order to overcome such problems some authors have presented another scheme known as Natural image based Visual Secret Sharing Scheme (NVSS Scheme). In this scheme the transmission of secret image occurs through different media in order to protect the secret. The n out of n NVSS scheme can transmit a digital secret image by randomly choosing n-1 natural images and one noise share. Natural images may be in digital or printed form. Noise-like share is produced by natural image and printed image. The natural shares which are unaltered minimize the risk associated during transmission.

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“…Wu et al [23] proposed a VC-based scheme for color images and Shyu [17] proposed a RG-based scheme for gray-level and color images. To expand usage of VSS, improving the visual quality is important, so VC-based schemes [10,11,14,24,25] and RG-based schemes [2,15,22] have been proposed. Extended from the simple VSS so that more shares could be generated, a study of visual secret sharing was undertaken by Shyu [18] and Chen and Tsao [4,6,7], both of whom used RG.…”

Section: Introductionmentioning

confidence: 99%