基於相鄰像素差之高容量可逆式資料隱藏法

HIGH CAPACITY REVERSIBLE DATA HIDING SCHEME BASED ON ADJACENT PIXEL DIFFERENCE

吳宗翰(Zong-Han Wu)

指導教授 ： 蔡明傑

大同大學/電機資訊學院/電機工程學系所/碩士(2010年)

摘要

本篇論文提出一個新穎的雙相鄰像素差結合可逆式資訊隱藏技術，為了提高隱藏容量同時要兼顧PSNR值，我們提出雙資料隱藏法，其方法就是結合第一種相鄰像素差演算法及第二種預測編碼演算法在同一張影像上，而第一種相鄰像素差演算法是計算整張影像上所有的像素差值來做資料隱藏。第二種則是使用預測編碼來做資料隱藏，並利用切割成影像區塊來修改些微的像素值來達到資料隱藏的目的。由實驗結果可知，我們的演算法具有較好的隱藏容量，當取出資料後，皆可以恢復成原來的影像，而且，整個演算法相當容易並且執行時間也相當的短。

關鍵字

差值 ； 相鄰像素 ； 直方圖位移 ； 預測編碼

並列摘要

This thesis proposes a new method of combining the technique of Two Differences of Adjacent Pixels with the technique of Reversible Hiding Data Methods. In order to enhance a higher embedding capacity and keep a certain quality of PSNR, Two Data Hiding Methods is pointed out, which includes the Difference of Adjacent Pixels Algorithm and the Prediction of Adjacent in the same image. The first method, Difference of Adjacent Pixels Algorithm, is used to measure the Pixel Difference Value to produce Hiding Data. The utilization of the second method is used Prediction and dividing Stego Image to several block zones to adjust pixel values to achieve the goal Hiding Data. According to the outcome of experiments, the new method, combining Two Differences of Adjacent Pixels and Reversible Hiding Data Methods, has a better capacity of embedding, which can recover the original image without any distortion after the hidden data have been extracted. Moreover, the whole presented algorithm is quite simple and the execution time is also rather short.

並列關鍵字

difference value ； adjacent pixels ； histogram shifting ； Prediction.

參考文獻

[1] T. C. Thanuja, R. Nagaraj and M. U. Kumari, “ Reversible Data Hiding using Increased Peak Histogram” in Proc. IEEE Int. Computer and Information Technology, pp. 44–47,Dec 2008.

[2] W. C. Kuo, D. J. Jiang and Y.C. Huang, “ A Reversible Data Hiding

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[5] W. Hong, C. W. Shiu and T. S. Chen, “A High Quality Histogram Shifting Based Embedding Technique for Reversible Data Hiding” in Proc. IEEE Int. Conf. Intelligent Systems Design and Applications, Vol. 3, pp. 183 – 187, Nov. 2008.

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