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標題: 植基於預測法及可適性之運用相鄰像素及差值擴張於可逆式資訊隱藏技術研究
A Study of Adaptive Prediction-Based Reversible Information Hiding Using Adjacent Pixel and Difference Expansion
作者: 朱雅甜
Chu, Ya-Tien
關鍵字: 資訊隱藏
Information hiding
Reversible information hiding
Adaptive information hiding
Image steganography
Difference expansion (DE)
Prediction error (PE)
出版社: 資訊管理學系所
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摘要: 由於資通科技及網際網路的快速發展,使得人們紛紛投入多媒體網路通訊之新商業模式中,然而擁有便利的通訊仍無法完全滿足現代人類的應用需求,加上有心人士竊取訊息的威脅,讓通訊安全所衍生的議題逐漸被重視,因此,如何確保秘密通訊過程中具備安全已成為重要的課題,資訊安全之技術也因而蓬勃發展。 本篇論文研究主題為探討資訊隱藏技術於數位影像之秘密傳輸,藉由相鄰像素具相似性之特性,針對影像空間關係進行像素預測,因為影像具隨機多樣性,例如:平滑影像、複雜影像、明亮影像及灰暗影像…等,故以分類後之像素值類型及修改後之預測差值應對其多樣之特性,以達到多媒體機密通訊安全之目的。 本篇論文提出一個運用相鄰像素及差值擴張之預測型可逆式資訊隱藏技術,首先將掩護影像分成隱藏區域及非隱藏區域兩部分,透過相鄰像素將隱藏區域中像素分門別類,並依像素類型以預測差值擴張的方式,分別藏入適合的機密資訊量,在藏入機密資訊前,過大的預測差值已被修改成適合的預測差值,因而改善先前方法於差值或預測差值擴張後造成偽裝影像品質下降的問題,由於本研究方法依據像素類型藏入不同的機密資訊量,即平滑像素藏入較少機密資訊量,而複雜像素藏入較多機密資訊量,實驗結果呈現本方法不僅克服先前方法不適用於複雜影像的問題外,亦提高機密資訊的藏量及偽裝影像的品質。
Because of the information communication technique and the Internet grow quickly, people communicate with each other by Internet nowadays. However convenient communication is not safe enough for us. There are many hackers want to steal information from our communications so information security is much more important than before. How to ensure the safety of our communications becomes a very important issue. That’s why we study about information security technique. In this thesis, a study of prediction-based adaptive information hiding techniques is proposed. The proposed scheme utilizes adjacent pixels to predict spatial correlations, The classified pixels and modified prediction error (PE) can handle that diversity of digital images, such as smooth image, complex image, brighter image and darker image, and then achieves the purpose of confidential communication and information security. This thesis presents a prediction-based adaptive reversible information hiding scheme using adjacent pixels and difference expansion. The proposed scheme identifies the types of the cover pixels by adjacent pixels and depends on the types to embed different bits of secret information by prediction error expansion. Due to the prediction errors are modified before the secret information embedded, the doubled prediction errors can be reduced than previous methods. Because the smooth pixels embed fewer bits of the secret information and the complex pixels embed more bits, the proposed scheme not only overcomes the non-applicability to complex images in previous methods, but also has higher hiding capacity and image quality than previous methods .
其他識別: U0005-1707201313042300
Appears in Collections:資訊管理學系



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