Repetition coding of error correction coded messages in auxiliary data embedding applications
    111.
    发明申请
    Repetition coding of error correction coded messages in auxiliary data embedding applications 审中-公开
    辅助数据嵌入应用程序中纠错编码消息的重复编码

    公开(公告)号:US20030026453A1

    公开(公告)日:2003-02-06

    申请号:US10193663

    申请日:2002-07-10

    Abstract: The error rate of auxiliary data embedded in media signals is decreased through variable error robustness coding. In one application, error correction coded symbols in a steganographic message that are more prone to error are repeated more than other symbols. In another application, the error robustness coding is increased or decreased in different parts of an auxiliary data message according to a measure of the expected error rate based on a model of the channel and/or the host media signal that is to carry the auxiliary data through that channel.

    Abstract translation: 通过可变误差鲁棒性编码降低嵌入在媒体信号中的辅助数据的误码率。 在一个应用中,更容易出错的隐写消息中的纠错编码符号比其他符号重复。 在另一应用中,根据用于携带辅助数据的信道模型和/或主机媒体信号的预期误码率的度量,在辅助数据消息的不同部分中增加或减少误差鲁棒性编码 通过该频道。

    Feature-based watermarks and watermark detection strategies
    112.
    发明申请
    Feature-based watermarks and watermark detection strategies 有权
    基于特征的水印和水印检测策略

    公开(公告)号:US20010036292A1

    公开(公告)日:2001-11-01

    申请号:US09810079

    申请日:2001-03-16

    CPC classification number: G06T1/0028 G06T1/0064 G06T2201/0601

    Abstract: Processes and apparatus for improving the state of the art for watermarking and data protection. The disclosure includes feature-based watermarks, auto- and cross-correlation techniques for determining scaling and rotation, transitions in time based watermarking, autocorrelation watermarks for images, and dynamic content scrambling of static files.

    Abstract translation: 用于改进用于水印和数据保护的现有技术的过程和装置。 本公开包括基于特征的水印,用于确定缩放和旋转的自相关和互相关技术,基于时间的水印的转换,图像的自相关水印和静态文件的动态内容加扰。

    Automatic geometric image transformations using embedded signals
    113.
    发明授权
    Automatic geometric image transformations using embedded signals 失效
    使用嵌入式信号的自动几何图像变换

    公开(公告)号:US5949055A

    公开(公告)日:1999-09-07

    申请号:US956839

    申请日:1997-10-23

    Abstract: An acquired (e.g., scanned) image contains an imperceptible periodic signal component (e.g., a sinusoid), decoding of which can be used to automatically determine a linear geometric relationship between the acquired image and the original image in which the signal was embedded, without having the original image available during the decoding process. This known geometric relationship allows for linear geometric properties of the acquired image, such as alignment and scaling, to be automatically matched with those of the original image so that the acquired image may be automatically oriented and scaled to the size of the original image. The embedded periodic signals produce a distinct pattern of local peak power concentrations in a spatial frequency amplitude spectrum of the acquired image. Using geometric constraint information about the embedded signals when the signals were originally embedded in the image, the locations and spatial frequencies of the signals are decoded from the image, providing a linear mapping between the peak power concentrations of the acquired and original image spatial frequency amplitude spectra. This linear mapping can be used to compute the linear geometric relationship between the two images. In an illustrated embodiment, the acquired image contains a set of sinusoidal signals that act as a grid. Decoding of the sinusoids does not require the original image, only information about the predetermined geometric relationship of the embedded sinusoids.

    Abstract translation: 获取的(例如,扫描的)图像包含不可察觉的周期性信号分量(例如,正弦曲线),其解码可用于自动确定所获取的图像与其中嵌入信号的原始图像之间的线性几何关系,而没有 在解码过程中可以获得原始图像。 这种已知的几何关系允许所获取的图像的线性几何属性(例如对准和缩放)自动与原始图像的几何属性匹配,使得所获取的图像可以被自动定向并且缩放到原始图像的尺寸。 嵌入的周期信号在所获取的图像的空间频率幅度谱中产生局部峰值功率浓度的不同图案。 当信号最初嵌入到图像中时,使用关于嵌入信号的几何约束信息,从图像中解码信号的位置和空间频率,从而提供所获取的和原始图像空间频率幅度的峰值功率浓度之间的线性映射 光谱。 该线性映射可用于计算两个图像之间的线性几何关系。 在所示实施例中,所获取的图像包含用作网格的一组正弦信号。 正弦曲线的解码不需要原始图像,只有关于嵌入的正弦曲线的预定几何关系的信息。

Patent Agency Ranking