數位時代的興起與資訊技術的進步,網際網路成為生活必備的工具,現今的資訊技術可使任何媒體轉換成數位資料,再透過網路將資訊散播出去,分享的同時,卻產生相當多的問題。例如:隱私權的氾濫、資料的竊取、或是資料的篡改,使得合法擁有者的權益受損,所以如何確保資訊在網路上傳遞的安全將是重要的研究議題。 可逆式資訊隱藏技術說明在秘密訊息取出後還能將藏密影像回復成原始影像,並可提供秘密通訊及影像鑑別的應用。媒體包括影像、影片、文字與聲音等,只要媒體能夠以數位方式呈現,皆可做為資訊隱藏之用。將機密訊息藏入掩蔽媒體中,由於媒體在訊息藏入後不會有明顯的更動,因此可以躲過不法第三者的攻擊,進而達到保護資訊的目的。 預測誤差是指預測結果與實際結果的偏差,對於如何縮小預測結果與實際結果的差距都一直是研究重點,本論文提出階層式預測誤差的方法來創造較高的峰值點統計量,並且有效改善直方圖位移藏密量小的缺點。實驗結果顯示,相較於目前基於直方圖的隱藏技術,我們提出的方法可大幅提升藏密量,且維持良好藏密影像品質。
Due to the rise of digital era and information technology, the Internet has become an essential tool in our life. Nowadays information technology can convert any media into digital forms and spread them on the internet to share with other people. However, many problems do appear while spreading and sharing. For example, the invasion of privacy, the stealing and tamper of data, which damages the privilege of legal owners. Thus how to protect the security of the data on the transmission network will be an important research issue. Reversible data hiding is a technique that can recover the stego media to its original form after retrieving the secret message. It provides the application secret communication and image identification. The digitized media can be used for data hiding, It includes image, video, text and sound. Due to the distortion is low after embedding the secret message into the cover media, the stego media doesn’t appeal to the attackers on the Internet and the purpose of protecting secret message can be achieved. Prediction error is the difference between the predictive value and the original one. How to reduce the prediction error always be a research topic in data hiding. In this paper, a hierarchical prediction error scheme is proposed to increase the count of the peak points. It can improve the embedded capacity of histogram shifting. The experimental results show that our proposed scheme provides high hiding capacity and good image quality.