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231226s2023 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2023.3263101
|2 doi
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|a pubmed24n1184.xml
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|a (DE-627)NLM355228165
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|a DE-627
|b ger
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Wu, Xiaotian
|e verfasserin
|4 aut
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| 245 |
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|a Contrast Optimization for Size Invariant Visual Cryptography Scheme
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|c 2023
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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| 500 |
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|a Date Completed 07.04.2023
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|a Date Revised 11.04.2023
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a Visual cryptography scheme (VCS) serves as an effective tool in image security. Size-invariant VCS (SI-VCS) can solve the pixel expansion problem in traditional VCS. On the other hand, it is anticipated that the contrast of the recovered image in SI-VCS should be as high as possible. The investigation of contrast optimization for SI-VCS is carried out in this article. We develop an approach to optimize the contrast by stacking t ( k ≤ t ≤ n ) shadows in (k, n) -SI-VCS. Generally, a contrast-maximizing problem is linked with a (k, n) -SI-VCS, where the contrast by t shadows is considered as an objective function. An ideal contrast by t shadows can be produced by addressing this problem using linear programming. However, there exist (n-k+1) different contrasts in a (k, n) scheme. An optimization-based design is further introduced to provide multiple optimal contrasts. These (n-k+1) different contrasts are regarded as objective functions and it is transformed into a multi-contrast-maximizing problem. The ideal point method and lexicographic method are adopted to address this problem. Additionally, if the Boolean XOR operation is used for secret recovery, a technique is also provided to offer multiple maximum contrasts. The effectiveness of the proposed schemes is verified by extensive experiments. Comparisons illustrate significant advancement on contrast is provided
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|a Journal Article
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| 700 |
1 |
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|a Fang, Jia
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Yan, Wei Qi
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 32(2023) vom: 05., Seite 2174-2189
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
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| 773 |
1 |
8 |
|g volume:32
|g year:2023
|g day:05
|g pages:2174-2189
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|u http://dx.doi.org/10.1109/TIP.2023.3263101
|3 Volltext
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|a AR
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|d 32
|j 2023
|b 05
|h 2174-2189
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