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    Please use this identifier to cite or link to this item: http://ccur.lib.ccu.edu.tw/handle/A095B0000Q/17


    Title: 修改像素預測誤差得到高藏量的自適應式訊息隱藏方法;Adaptive Information Hiding with High Embedding Capacity Using Modification of Pixel Prediction Errors
    Authors: 曾群丰;ZENG, QUN-FENG
    Contributors: 資訊工程研究所
    Keywords: 寫隱術;可逆式資訊隱藏;不可逆式資訊隱藏;Steganography;reversible data hiding;irreversible data hiding
    Date: 2018
    Issue Date: 2019-05-23 10:30:10 (UTC+8)
    Publisher: 資訊工程研究所
    Abstract: 隱寫術被廣分的使用在嵌入大量祕密資訊並同時保持著令人滿意的影像品質,其中最著名的技術便是預測誤差值的應用在隱寫術上。在這篇論文中,分別在可逆以及不可逆的隱藏中提出了兩種不同的方法來達到更高藏量且仍能有好的影像品質。首先,在不可逆式資訊隱藏,最低顯著位元藏入法結合像素誤差值藏入法中融入我們的影子像素預測法。第二則是在可逆式資訊隱藏,周圍像素預測誤差直方圖位移法中改良使用了混合預測誤差法以及二維直方圖成對像素誤差預測藏入法,在經過這兩種的改進後,就能得到更好的藏量與影像品質。第一個部分的改進,因為像素誤差值藏入法中的誤差越大能藏的數量越多的關係,我們利用影子像素預測法,選擇較大的誤差值,藉此增加了藏量,同時利用了奇偶性位元的關係進一步擴大藏量,因此得到了極高的藏量也擁有好的影像品質,第二部分,因為周圍像素鄰近的關係,我們利用了混合預測誤差法,使我們的預測更加精準,也就能夠獲得更多的峰值用來進行藏入,原本我們直接使用了雙峰值的直方圖誤差預測藏入法,得到了極高的藏量,但經過權衡我們使用了二維直方圖成對誤差預測藏入法,不但提升了藏量也擁有較好的影像品質。
    Steganography is widely used to embed large amounts of secret information while maintaining well image quality. The most famous steganography technique is prediction error. In this paper, two different approaches have been proposed for reversible and irreversible data hiding to achieve higher levels of capacity and still have good image quality. First of all, in the irreversible data hiding, the least significant bit method incorporates the pixel value difference method into our shadow pixel prediction method. The second improve is the use of the mixed prediction error method and the surrounding pixel prediction error histogram shifting will be displaced by two-dimensional histogram pixel error prediction hiding method in the reversible information hiding. After these two improvements we can get better capacity and good image quality.The first part of the improvement, due to the larger the difference in the pixel value the greater the number of hidden capacity, we use the shadow pixel prediction method to select a larger difference value, thereby increasing the amount of peak point, while using the relationship of parity bits to further expand the capacity, we have obtained a high storage and also have good image quality. In the second part, du to the proximity of the value of neighboring pixels, we have used the mix prediction error expansion method to make our predictions more accurate, and we can have more peak point for hiding. We originally used the double peak-point histogram prediction error expansion method to get a very high level capacity, but after thinking, we used two-dimensional pairwise prediction error histogram shifting method has not only improved the capacity but also has good image quality.Keywords
    Appears in Collections:[資訊工程學系] 學位論文

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