頁籤選單縮合
題名 | A Neural-Network-Based Robust Watermarking Scheme |
---|---|
作者 | Chang, Chuan-Yu; Wang, Hung-Jen; Su, Sheng-Jyun; | 書刊名 | 致遠資工學刊 |
卷期 | 1:1 2007.04[民96.04] |
頁次 | 頁19-34 |
分類號 | 312.76 |
關鍵詞 | Digital watermark; Full counterpropagation neural network; Information hiding; |
語文 | 英文(English) |
英文摘要 | Digital watermarks is an important technique for protection and identification that allows authentic watermarks to be hidden in multimedia such as image, audio, and video. Watermarking has been developed to protect digital media from being illegally reproduced and modified. The embedding and extracting watermark used to require complex procedures. In this paper, a Full Counter-propagation Neural network (FCNN) is applied to digital image watermarking, in which the watermark is embedded and extracted through specific FCNN. Different from the traditional methods, the multiple cover images and the watermark are embedded in the synapses of a FCNN simultaneously instead of the cover images. Therefore, the watermarked image is almost the same as the original cover image. In addition, most of the attacks could not degrade the quali6ty of the extracted watermark image. The experimental results show that the proposed method is able to achieve robustness, imperceptibility and authenticity in watermarking. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。