Lossless and unlimited multi-image sharing based on Chinese remainder theorem and Lagrange interpolation

This study proposes a novel multi-image threshold sharing scheme based on Chinese remainder theorem and Lagrange interpolation. The exceptional property of the scheme is its ability to retrieve any secret image without recovering all the other images. Therefore, it works efficiently and reduces comp...

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Bibliographic Details
Published inSignal processing Vol. 99; pp. 159 - 170
Main Authors Chang, Chin-Chen, Huynh, Ngoc-Tu, Le, Hai-Duong
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 01.06.2014
Elsevier
Subjects
Applied sciences
Chinese remainder theorem
Color
Cost engineering
Detection, estimation, filtering, equalization, prediction
Distortion
Exact sciences and technology
Image processing
Information, signal and communications theory
Interpolation
Lagrange interpolation
Losslesss
Multi-image sharing
Recovering
Signal and communications theory
Signal processing
Signal, noise
Telecommunications and information theory
Theorems
Thresholds
Losslesss
Chinese remainder theorem
Lagrange interpolation
Multi-image sharing
Lossless circuit
Image processing
Image restoration
Multiple image
Image quality
Image segmentation
Gray scale
Signal processing
Chinese
Signal distortion
Image format
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Summary:This study proposes a novel multi-image threshold sharing scheme based on Chinese remainder theorem and Lagrange interpolation. The exceptional property of the scheme is its ability to retrieve any secret image without recovering all the other images. Therefore, it works efficiently and reduces computation cost in case it needs to recover only one image from shares. In term of capacity, the scheme has no limitation on number of input secret images, output shares and the recovery threshold. Another advantage of the scheme is that it can be used for many image formats whether it is binary or grayscale or color. Moreover, the scheme can recover the secret images without any distortion. •Distortion free multi-image sharing.•No limitation on the number of input secret images, output shadows, and threshold value.•Applicable to binary, grayscale, and color images.•Has ability to retrieve any secret image without recovering all the secrets.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0165-1684
1872-7557
DOI:10.1016/j.sigpro.2013.12.022