可適性內嵌層級植於可逆式資料隱藏之隱藏量提升法

Athena: Capacity Enhancement of Reversible Data Hiding with Consideration of the Adaptive Embedding Level

徐雅琦(Ya-Chi Hsu)

指導教授 ： 鄭伯炤

國立中正大學/工學院/通訊工程學系/碩士(2014年)

摘要

本研究提出一套新的可逆式資料隱藏法(Reversible data hiding)，其藉由可適性調整的內嵌層級(Embedding level)來達到最小的失真度，並同時使用資料回復金鑰(Data reversion key)來滿足資料機密性。藉由峰值點序列(Peak point queue)可達到可適性調整的內嵌層級，同時維持高品質的偽裝影像(Marked image)，然而本研究所提出的方法Athena，將對額外資訊(Overhead information)有更佳的利用機制，也就是將此用來產生出資料回復金鑰，並且使用者將交換此金鑰基於公開金鑰基礎建設(Public key infrastructure, PKI)。最後在實驗中將證實本研究所提出的方法，無論是在不同的測試影像或是影像大小，可提供更好的影像品質。

關鍵字

圖像直方圖 ； 內嵌層級 ； 可逆式資料隱藏 ； 公開金鑰基礎建設

並列摘要

This paper provides a novel method of reversible data hiding by adaptively adjusting the embedding level to achieve minimal distortion and to attain the embedded data confidentiality via data reversion key generation. The peak point queue (PPQ) is used to adaptively determine the embedding level and achieve superior quality in the marked image. In respect to data reversion key for the double protection, our approach, named Athena, makes better utilization of the overhead information and allows users to exchange the key based on a public key infrastructure (PKI). Our experimental results show that the method is capable of providing a better quality image for a range of different test images of various sizes.

並列關鍵字

Public key infrastructure ； Image histogram ； Embedding level ； Reversible data hiding

參考文獻

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