研究生: |
葉富豪 Fu-Hao Yeh |
---|---|
論文名稱: |
以影像內容調整權重之忘卻性數位浮水印模組 a content base watermarking model |
指導教授: |
李忠謀
Lee, Chung-Mou |
學位類別: |
博士 Doctor |
系所名稱: |
資訊教育研究所 Graduate Institute of Information and Computer Education |
論文出版年: | 2000 |
畢業學年度: | 88 |
語文別: | 中文 |
論文頁數: | 58 |
中文關鍵詞: | 浮水印,材質 |
英文關鍵詞: | watermark , texture |
論文種類: | 學術論文 |
相關次數: | 點閱:172 下載:7 |
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摘要
以影像內容調整權重之忘卻性數位浮水印模組
葉富豪
電腦網路和資訊數位化帶來了易散佈和易修改的便利性,使得多媒體資料之取得十分容易。如何確認多媒體資料使用之合法性,以確保創作者之著作權,便顯得十分重要。近來所發展之數位浮水印技術,正可有效解決多媒體資料著作權歸屬問題。
本研究主要之目的,是發展忘卻性(Oblivious)數位影像浮水印技術,即在不需原始影像之輔助下,便可確認浮水印的存在與否,進而協助鑑定著作權之歸屬。而採用之方法,主要是將影像分為數個長寬相等的子區塊,並利用子區塊的材質與亮度之分析,判斷子區塊插入浮水印後,是否容易造成子區塊內影像失真,並給予每個子區塊適當權重,以插入不同能量之浮水印資料。最後並以影像修正函數,校正插入浮水印後之影像邊緣失真,以維護影像之視覺品質。
實驗結果顯示,研究所提之方法能有效防禦諸多影像處理技術對於浮水印的破壞,包括:影像切割(切除95%)、有損失壓縮(壓縮比為12)、影像增強及同時插入多個浮水印等破壞方式。
ABSTRACT
A Content Based Oblivious Watermarking Model
By
Fu-Hao Ya
Computer network and digitized information, which bring the convenience of spreading and modifying, make it much easier to acquire multimedia data. Therefore, it becomes more and more important to affirm the legal use of multimedia data to protect the intellectual property of the creators. And Digital Watermarking, developed recently, has been proposed as an efficient way to protect copyright.
The principal purpose of this research lies in the development of Oblivious watermarking, which can ensure the existence of watermarking independently without the assistance of original images, and thus can authenticate the authority of copyright. The main method we adopted is to divide the whole image into several equivalent sub-blocks, and to determine if the embedment of the watermark would cause the distortion of the image by analyzing the texture and brightness of each sub-block. Then, each sub-block is given its proper weight, by which we embed the watermark of different energy in it, and, lastly, we amend the edge of the whole image after the embedment of the watermark with a function to retrieve the distortion.
The result of this experiment reveals that the method we took, as mentioned above, is able to effectively defend the attacks which other image processing techniques would cause, such as image cropping (95% cropped), lossy compression (rate of compression=12), image enhancement, multiple watermarks, etc.
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