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    • 5. 发明授权
    • Method and apparatus for steganalysis of texture images
    • 纹理图像隐写的方法和装置
    • US08548262B2
    • 2013-10-01
    • US12964052
    • 2010-12-09
    • Yun-Qing ShiChunhua Chen
    • Yun-Qing ShiChunhua Chen
    • G06K9/36
    • G06T1/005G06T2201/0051G06T2201/0052G06T2201/0061G06T2201/0065G06T2201/0083
    • Embodiments of the invention are directed toward methods for steganalysis that improve the detection of steganography in texture images. The methods combine features extracted from the image spatial representation and from a block discrete cosine transform (BDCT) representation with multiple different block sizes (i.e., N×N) to improve detection of data hidden in texture images. Image data that is to undergo steganalysis can be provided to embodiments of the invention in at least one of spatial (pixel) and JPEG format. When JPEG format is provided, the image is first decompressed to spatial representation, from which the features are extracted when the block size is at least one 2×2, 4×4, and 16×16. When the block size is 8×8, the JPEG coefficients (JPEG quantized 8×8 BDCT coefficients) derived directly from the JPEG image are used to extract features. In addition, the method is also effective as a universal steganalyzer for both texture and smooth/non-texture images. Embodiments of the invention also (1) utilize moments of 1-D and 2-D characteristic functions; (2) Prediction-error; and (3) all wavelet subbands including the low-low subbands.
    • 本发明的实施例涉及改进纹理图像中隐写术检测的隐写分析方法。 这些方法组合从图像空间表示提取的特征和具有多个不同块大小(即N×N)的块离散余弦变换(BDCT)表示,以改进隐藏在纹理图像中的数据的检测。 要进行隐写分析的图像数据可以以空间(像素)和JPEG格式中的至少一个提供给本发明的实施例。 当提供JPEG格式时,首先将图像解压缩到空间表示,当块大小至少为2×2,4×4和16×16时,从中提取特征。 当块大小为8×8时,使用从JPEG图像直接导出的JPEG系数(JPEG量化的8×8 BDCT系数)来提取特征。 此外,该方法对于纹理和平滑/非纹理图像也是有效的。 本发明的实施例还(1)利用1-D和2-D特征函数的时刻; (2)预测误差; 和(3)包括低低子带的所有小波子带。
    • 6. 发明授权
    • Steganalysis of suspect media
    • 嫌疑媒体的分析
    • US08281138B2
    • 2012-10-02
    • US12422677
    • 2009-04-13
    • Yun-Qing ShiBin Li
    • Yun-Qing ShiBin Li
    • H04L9/32
    • G06T1/0028G06T2201/0051G06T2201/0052G06T2201/0061G06T2201/0201
    • Techniques described herein are generally related to steganalysis of suspect media. Steganalysis techniques may include receiving instances of suspect media as input for steganalytic processing. A first set of quantized blocks of data elements may be identified within the media, with this first set of blocks being eligible to be embedded with steganographic data. A second set of quantized blocks of data elements may be identified within the media, with this second set of blocks being ineligible to be embedded with steganographic data. The steganalysis techniques may requantize the first and second blocks. In turn, these techniques may compare statistics resulting from requantizing the first block with statistics resulting from requantizing the second block. The steganalysis techniques may then assess whether the first block of data elements is embedded with steganographic features based on how the statistics of the second blocks compare with the statistics of the first blocks.
    • 本文描述的技术通常涉及可疑介质的隐写分析。 隐匿分析技术可以包括接收可疑媒体的实例作为隐写处理的输入。 可以在媒体内识别数据元素的第一组量化块,其中该第一组块有资格嵌入隐写数据。 可以在媒体内识别第二组数据元素的量化块,其中第二组块不符合隐写数据​​的嵌入。 隐写分析技术可以重新调整第一和第二块。 反过来,这些技术可以将从重新量化第一个块得到的统计数据与由再量化第二个块产生的统计数据进行比较。 隐写分析技术可以基于第二块的统计数据如何与第一块的统计量进行比较来评估第一块数据元素是否嵌入隐写特征。
    • 9. 发明授权
    • Method and apparatus for rapid and precision detection of omnidirectional postnet barcode location
    • 用于快速精确检测全方位邮政信箱条码位置的方法和装置
    • US06708884B1
    • 2004-03-23
    • US10319670
    • 2002-06-25
    • Wei SuYun-Qing ShiCheng-jyh ChangShu Lin
    • Wei SuYun-Qing ShiCheng-jyh ChangShu Lin
    • G06K710
    • G06K7/1443G06K7/14
    • A method for rapid and precise detecting of an omnidirectional postnet bar code on an object by digital signal processing is provided. In order to rapidly and accurately detect omnidirectional postnet bar codes, a two-dimensional digital image containing the postnet bar code is acquired, filtered and dilated to form a block dominated by a plurality of black-colored pixels. Then a down sampled image is provided and match filtered with a two-dimensional matched filtering output to indicate a best-matched filter, thus determining a postnet bar code location and orientation by associating matched filters with an orientation angle of the omnidirectional postnet bar code. The method further comprises the steps of identifying a gravity center for each short bar code and connecting the gravity centers to form a straight line by using a Hough transform and comparing the straight line with the postnet bar code location to generate a verification result and then detecting a position and an orientation of said postnet bar code location by matching said postnet bar code location with said verification result.
    • 提供了一种通过数字信号处理快速准确地检测物体上的全方位邮政网络条形码的方法。 为了快速准确地检测全向后网条形码,获取包含邮政网络条码的二维数字图像,进行滤波和扩展,以形成以多个黑色像素为主的块。 然后提供下采样图像,并与二维匹配滤波输出进行匹配滤波,以指示最佳匹配滤波器,从而通过将匹配滤波器与全向后网络条形码的定向角相关联来确定后网络条码位置和方位。 该方法还包括以下步骤:识别每个短条形码的重心,并通过使用霍夫变换连接重心以形成直线,并将直线与后网络条码位置进行比较以产生验证结果,然后检测 通过将所述邮政网络条形码位置与所述验证结果相匹配来确定所述邮政网络条形码位置的位置和方位。