基于圖像內(nèi)容的脊波變換域數(shù)字水印模型和算法研究
Research of Image Content Based Digital Watermarking Model and Algorithm in Ridgelet Transform Domain
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摘要: 在研究人類視覺(jué)(HVS)特性的基礎(chǔ)上提出了一種在脊波變換域基于圖像內(nèi)容的數(shù)字水印模型。在此模型中，嵌入數(shù)字水印的強(qiáng)度歸結(jié)于數(shù)字圖像脊波系數(shù)的視覺(jué)掩蓋效應(yīng)，文中建立了脊波變換域人眼臨界可見(jiàn)誤差模型。圖像的水印檢測(cè)被歸結(jié)為Neymann-PeaLrson準(zhǔn)則下的統(tǒng)計(jì)模型，該模型被用來(lái)估算水印檢測(cè)的最優(yōu)閾值。作為算例，將臨界可見(jiàn)誤差模型結(jié)合擴(kuò)展譜技術(shù)，提出了一種新穎的圖像自適應(yīng)水印算法，并給出了相應(yīng)的實(shí)驗(yàn)結(jié)果。實(shí)驗(yàn)表明算法性能大幅度提高。Abstract: In this paper, an image content based perceptual watermarking model using ridgelet transform is presented. It provides a new visual model, which can exactly evaluate the Just Noticeable Distortion (JND) tolerance of human visual system. The watermarking algorithm is designed to address the issue of how to improve the robustness and the security of the embedded watermark according to the image content. In order to improve the robustness and transparency, the watermark bits are inserted in the visual significant ridgelet coefficients without exceeding the maximum strength of JND. With the spread spectrum technique and the secret key protection, the security of the embedded watermark is also guaranteed very well. Through analyzing the statistical property of the watermarked image, a threshold selection method based on Neymann-Pearson principle is presented and then the embedded watermark can be blindly detected by correlation coefficients between the original image and the watermark sequence. Experiments show that the proposed method can achieve a better tradeoff between the robustness and transparency.
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[1] Cox I J, Miller M L. A review of watermarking and the importance of perceptual modeling[J].In Proceedings of SPIE, Human Vision Electronic Imaging Ⅱ, 1997, Santa Barbara, 3016: 92-99. [2]章毓晉.中國(guó)圖像工程及當(dāng)前的幾個(gè)熱點(diǎn).計(jì)算機(jī)輔助設(shè)計(jì)與圖形學(xué)學(xué)報(bào).2002,14(6):1-12 -
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