2011
DOI: 10.1016/j.jss.2011.01.002
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Secret image sharing with authentication-chaining and dynamic embedding

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Cited by 57 publications
(44 citation statements)
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“…Dynamic Embedding and recovery: For this step, a dynamic embedding/recovery algorithm [7] was adopted and applied. The algorithm helps to overcome the problem of the static embedding algorithms by exploiting the whole medical image's capacity in order to guarantee a high visibility.…”
Section: B Spatial Synchronization Dynamic Embedding/mentioning
confidence: 99%
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“…Dynamic Embedding and recovery: For this step, a dynamic embedding/recovery algorithm [7] was adopted and applied. The algorithm helps to overcome the problem of the static embedding algorithms by exploiting the whole medical image's capacity in order to guarantee a high visibility.…”
Section: B Spatial Synchronization Dynamic Embedding/mentioning
confidence: 99%
“…While in the transform domain, the transform coefficients of the cover image are used to embed the watermarks in [1]. Despite the simplicity and the shorter required execution time benefits of the spatial domain, the main drawback of the implemented schemes in this domain is that they divide the cover image into fixed-size blocks of pixels so the hidden data are inserted in the LSB's of each pixel in every block and this can decrease the visibility of the resulted watermarked image which is not acceptable especially in the medical images context [7]. While the transform domain methods that guarantee more robustness against attacks need more processing powers and computation times which face one of the Cloud environment requirements, the fastness on the term of the processes execution [8].…”
Section: Introductionmentioning
confidence: 99%
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“…The purpose here is to hide the EPR data into the original shared medical image in an effective way that does not affect the visual quality of the medical image using Dynamic Embedding algorithm [6]. The main task is to exploit the overall capacity of the cover image in order to guarantee a high visibility which is a necessity especially when dealing with medical images.…”
Section: A Spatial Domain Dynamic Embedding/extraction Algorithmmentioning
confidence: 99%
“…While in the transform domain, the transform coefficients of the cover image are used to embed the watermarks in [1]. Despite the simplicity and the shorter required execution time benefits of the spatial domain, the main drawback of the implemented schemes in this domain is that they divide the cover image into fixed-size blocks of pixels so the hidden data are inserted in the LSB's of each pixel in every block and this can decrease the visibility of the resulted watermarked image which is not acceptable especially when dealing with medical images [6]. On the other hand, the transform domain methods can guarantee more robustness against attacks but needs more processing powers and computation times [7].…”
Section: Introductionmentioning
confidence: 99%