小波域的擴(kuò)頻數(shù)字圖像水印算法
IMAGE WATERMARKING TECHNIQUE BASED ON WAVELET TRANSFORM AND SPREAD SPECTRUM
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摘要: 該文利用小波變換良好的時(shí)頻局部特性,提出了基于小波變換的數(shù)字圖像水印嵌入方案,提高了數(shù)字水印的隱蔽性;把擴(kuò)頻通信的概念和方法引入數(shù)字水印系統(tǒng)中,采用了擴(kuò)頻理論中的偽隨機(jī)序列進(jìn)行處理,提高了數(shù)字水印的穩(wěn)健性,同時(shí)擴(kuò)頻通信的多址原理也將對(duì)實(shí)現(xiàn)多重水印起一定的作用。該文詳細(xì)討論了該算法的視覺(jué)效果,抗JPEG壓縮、抗隨機(jī)噪聲和抗尺寸變換能力,以及多重水印的實(shí)現(xiàn)。
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關(guān)鍵詞:
- 數(shù)字圖像水印; 版權(quán)保護(hù); 小波變換; 擴(kuò)頻
Abstract: In this paper, the wavelet transform is used to increase the invisibility of the digital image watermark because it can exploit the temporal and spatial phenomena of human visual system. The more robustness can be achieved if watermarks are first spread and then modulated with pseudo noise spread sequence. The multiple address characteristic of spread spectrum will also help multiple watermarking. The performances of the proposed digital image watermarking algorithm based on wavelet transform combined with spread spectrum theory are discussed in this paper, such as resisting the damages from JPEG compression, random noising, geometrical transformation and multiple watermarking. -
A.H. Twfik, M. Swanson, Data hiding for multimedia personalization, interaction, and protection,The past, present, and future of multimedia signal processing, IEEE Signal Processing Magazine,1997, 14(7), 41 44.[2]李忠源,郭全成,任亞蘋,圖像中的信息隱含及水印技術(shù),電子學(xué)報(bào),2000.28(4),61-63[3]P. Wolfgang.[J].E. Delp, A watermark for digital images, In Proc. IEEE Internet Croff. ImageProcessing96, San Francisco, Sept.1996,:-[4]Brassil.[J].S. Low, N. Maxemchuk, Electronic marking and identification techniques to discouragedocument copying, Proc. of Infocom94, Seattle.1994,:-[5]黃繼武,Yun Q Shi,程衛(wèi)東,DCT域圖像水印:嵌入對(duì)策和算法,電子學(xué)報(bào),2000,28(4),57-60.[6]Y. S. Kin, O. H. Kwon, R. H. Park, Wavelet based watermarking nethod for digital images usingthe human visual systen, Electronics Letters of the IEE(UK), 1999, 35(6), 466-468.[7]H. Inoue, T. Katsura, A. Miyazaki, A digital watermark technique based on the wavelet transformand its robustness on image compression and transformation, IEICE Trans. on Fundamentals ofElectronics, 1999, E82-A(1), 2-10.[8]S.G. Mallat, A theory for multiresolution signal decomposition: The wavelet representation,IEEE Trans. on PAMI, 1989, 11(7), 674-693. -
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