A Study of Secret Image Sharing Based on Discrete Haar Wavelet Wavelet Transform and Shamir’s Scheme

碩士 === 玄奘大學 === 資訊管理學系碩士班 === 99 === We proposed a fast secret image sharing based on Haar wavelet transform and Shamir’s method. Many researchers develop secret image sharing method with Shamir’s algorithm in one whole image. We employ discrete Haar wavelet transform to reduce the secret image to i...

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Main Authors: Huang,Yuan-Hui, 黃淵暉
Other Authors: Chyang-Huei Thomas Yang
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/09398202180743230692
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spelling ndltd-TW-099HCU083960172015-10-13T20:22:59Z http://ndltd.ncl.edu.tw/handle/09398202180743230692 A Study of Secret Image Sharing Based on Discrete Haar Wavelet Wavelet Transform and Shamir’s Scheme 基於離散Haar小波轉換與Shamir方法之秘密影像分享 Huang,Yuan-Hui 黃淵暉 碩士 玄奘大學 資訊管理學系碩士班 99 We proposed a fast secret image sharing based on Haar wavelet transform and Shamir’s method. Many researchers develop secret image sharing method with Shamir’s algorithm in one whole image. We employ discrete Haar wavelet transform to reduce the secret image to its quarter size firstly, i.e. the 1-level LL subband. Then only apply the modified Shamir’s algorithm to this LL subband to generate the shadow images. Lagrange method exploits the enough numbers of the shadow images in the retrieval step. Due to the Shamir’s and Lagrange algorithms consume a lot of time during the processing of the secret image sharing. Our method only processes a quarter size of image that can decrease computation time, and still achieve to recover the secret image reversible. The experiment results demonstrate our method is fast and retrieve secret image lossless. Chyang-Huei Thomas Yang 楊權輝 2011 學位論文 ; thesis 51 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 玄奘大學 === 資訊管理學系碩士班 === 99 === We proposed a fast secret image sharing based on Haar wavelet transform and Shamir’s method. Many researchers develop secret image sharing method with Shamir’s algorithm in one whole image. We employ discrete Haar wavelet transform to reduce the secret image to its quarter size firstly, i.e. the 1-level LL subband. Then only apply the modified Shamir’s algorithm to this LL subband to generate the shadow images. Lagrange method exploits the enough numbers of the shadow images in the retrieval step. Due to the Shamir’s and Lagrange algorithms consume a lot of time during the processing of the secret image sharing. Our method only processes a quarter size of image that can decrease computation time, and still achieve to recover the secret image reversible. The experiment results demonstrate our method is fast and retrieve secret image lossless.
author2 Chyang-Huei Thomas Yang
author_facet Chyang-Huei Thomas Yang
Huang,Yuan-Hui
黃淵暉
author Huang,Yuan-Hui
黃淵暉
spellingShingle Huang,Yuan-Hui
黃淵暉
A Study of Secret Image Sharing Based on Discrete Haar Wavelet Wavelet Transform and Shamir’s Scheme
author_sort Huang,Yuan-Hui
title A Study of Secret Image Sharing Based on Discrete Haar Wavelet Wavelet Transform and Shamir’s Scheme
title_short A Study of Secret Image Sharing Based on Discrete Haar Wavelet Wavelet Transform and Shamir’s Scheme
title_full A Study of Secret Image Sharing Based on Discrete Haar Wavelet Wavelet Transform and Shamir’s Scheme
title_fullStr A Study of Secret Image Sharing Based on Discrete Haar Wavelet Wavelet Transform and Shamir’s Scheme
title_full_unstemmed A Study of Secret Image Sharing Based on Discrete Haar Wavelet Wavelet Transform and Shamir’s Scheme
title_sort study of secret image sharing based on discrete haar wavelet wavelet transform and shamir’s scheme
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/09398202180743230692
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