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| 研究生： |
方友群 Fang, Yu-Chiun |
|---|---|
| 論文名稱： |
使用兩階式降低差值及調整參考像素值的灰階圖像隱寫術 An Steganographic Approach Using Two Reducing Phases and Adaptive Reference Pixel in Grayscale Images |
| 指導教授： |
紀博文
Chi, Po-Wen |
| 學位類別： |
碩士 Master |
| 系所名稱： |
資訊工程學系 Department of Computer Science and Information Engineering |
| 論文出版年： | 2020 |
| 畢業學年度： | 108 |
| 語文別： | 中文 |
| 論文頁數： | 64 |
| 中文關鍵詞： | 圖像隱寫術 、資料隱藏 、差值擴張 、降低差值擴張 |
| DOI URL： | http://doi.org/10.6345/NTNU202000134 |
| 論文種類： | 學術論文 |
| 相關次數： | 點閱：173 下載：61 |
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在網路方便又快速的時代，許多人可自由上傳、下載想要的多媒體檔案，但同時造成數位盜版等問題。為解決這些問題，有許多學者提出了資訊安全的方法來保護原作者的檔案，藉此保障他們的權利。幾年前，有幾位學著更提出了隱寫術(Steganography)等資料隱藏演算法，嵌入數位簽章或其他檔案，以保護作者的所有權。另外同時兼顧輸出後檔案的品質以及將嵌入能力提升，是在設計一個隱寫術演算法時所要面臨的一個極大挑戰。
差值擴張(Difference Expansion)是在隱寫術界中應用較廣泛演算法之一，其方法是透過圖像像素之間的差來儲存隱藏資料，以達到隱寫的效果。本文提出了一個灰階圖像隱寫術演算法，它使用了改良過的差值擴張演算法，並從方法內部做一些優化改良。此演算法可以進一步地縮小圖片破損並使得輸出後圖片的像素更接近於原始像素，進而達到提高圖片品質的效果。研究結果證明我們修改的方法確實可以再降低像素的變動幅度，能夠比前人方法輸出更高品質的圖片。
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