彩色图像水印处理的理论与应用研究
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摘要
本文根据信息论、计算机图像处理和色彩学中的色彩学中的基本原理,针对
     彩色图像水印处理的理论与应用进行了研究。在分析DCT、DFT、DWT
     的理论与算法的基础上,利用二维离散小波变换(DWT)的时频分析特
     性和多分辨率分析特性,结合人眼的视觉系统特性(HVS)和图像的纹
     理特征,提出一种自适应的水印嵌入算法理论体系(数学模型)。该算
     法体系能将一幅标识版权信息的水印图像嵌入到一幅彩色图像中。所
     提出的算法模型使水印具有不可见性,实验结果表明该算法所嵌入的
     水印对于空间几何失真(剪切、旋转)和信号处理(低通滤波、中值
     滤波、加高斯白噪音和 JPEG压缩等)具有较强的鲁棒性。研究水印
     的检测方法,使得检测出的水印能有效证明彩色数字图像的版权所
     有。
     用 Visual C++开发了该算法理论模型的《彩色图像水印处理系
     统》软件,主要用于解决当前网络信息和各种数字媒体的版权保护
     以及身份鉴定问题,该课题是目前世界上信息学科界具有前瞻性的高
     新技术领域的一个重要的分支,其研究工作具有积极的社会经济效
     益。
According to the fundamental principles of the Information Theory, and Digital lmage
    Processing, and Chromatology, this thesis studies the theory and applications of the color image
    watermarking processing. After analyzing the theory and algorithm of the discrete cosine
    transform (DCT), the discrete Fourier transform (DFT) and the discrete wavelet transform,
    integrating the Human Wisual System (HVS ) and the texture of images, employing the
    characteristics of multi-resolution analysis of the two-dimension discrete wavelet transform
    (DWT), the author proposes a theory scheme of an adaptive watermark embedding algorithm. The
    author embeds a watermark image (binary images, grayscale images or color images, all of them
    involve the information of copyright) into a color image by the algorithm, which ensures the
    watermark invisible,and experimental results show that the proposed algorithm is strongly robust
    to the geometry distortion and the signal processing such as low-pass filter, median filter,
    Gaussian white noise and JPEG compress. This thesis also explores the method of extracting
    watermark and makes the watermark extracted from an watermarked color image attest the
    copyright ownership of the image effectively.
    Based on the theory of the algorithm suggested by the author, with the software" The
    processing system of color image watermarking" using Visual C++6.0, the author's practice can
    be used to solve the matter of copyright and identification in spreading images by Intemet and
    other digital media. So the work of this thesis is very meaningful and valuable.
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