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    • 3. 发明授权
    • Method and apparatus for image splicing/tampering detection using moments of wavelet characteristic functions and statistics of 2-D phase congruency arrays
    • 使用小波特征函数的矩和2-D相位一致阵列的统计图像拼接/篡改检测的方法和装置
    • US07991185B2
    • 2011-08-02
    • US11772671
    • 2007-07-02
    • Yun-Quing ShiWen Chen
    • Yun-Quing ShiWen Chen
    • G06K9/00
    • G06K9/527
    • Embodiments of the invention are a novel splicing detection scheme that detects the spliced images by distinguishing image features that are extracted by exploiting both magnitude and phase information of a given image. The image features include the statistical moments of characteristic functions of wavelet subbands of a test image and a prediction-error image. In addition, the approximation (LL) subband at different levels is individually erased by forcing the wavelet coefficients to zero and the inverse wavelet transform is applied in order to produce reconstructed image with enhanced high frequency components. Further, the moments of the characteristic functions of these reconstructed images provide additional image features. Moreover, the statistics (mean, variance, skewness and kurtosis) of 2-D phase congruency array associated with the reconstructed images provide additional image features for splicing detection. These inputs provide a 120 dimensional image feature vector that includes 96 moment features and 24 phase features.
    • 本发明的实施例是一种新颖的拼接检测方案,其通过区分通过利用给定图像的幅度和相位信息提取的图像特征来检测拼接图像。 图像特征包括测试图像的小波子带的特征函数的统计矩和预测误差图像。 另外,通过强制小波系数为0,并且应用逆小波变换来产生不同级别的近似(LL)子带,以便产生具有增强的高频分量的重构图像。 此外,这些重建图像的特征功能的时刻提供附加的图像特征。 此外,与重建图像相关联的二维相位一致阵列的统计(平均值,方差,偏度和峰度)为拼接检测提供了额外的图像特征。 这些输入提供了120维图像特征向量,其包括96个矩形特征和24个相位特征。
    • 4. 发明申请
    • METHOD AND APPARATUS FOR IMAGE SPLICING/TAMPERING DETECTION USING MOMENTS OF WAVELET CHARACTERISTIC FUNCTIONS AND STATISTICS OF 2-D PHASE CONGRUENCY ARRAYS
    • 使用小波特征函数的图像分割/篡改检测的方法和装置和二维相位阵列的统计
    • US20080037823A1
    • 2008-02-14
    • US11772671
    • 2007-07-02
    • Yun-Quing ShiWen Chen
    • Yun-Quing ShiWen Chen
    • G06T1/00
    • G06K9/527
    • Embodiments of the invention are a novel splicing detection scheme that detects the spliced images by distinguishing image features that are extracted by exploiting both magnitude and phase information of a given image. The image features include the statistical moments of characteristic functions of wavelet subbands of a test image and a prediction-error image. In addition, the approximation (LL) subband at different levels is individually erased by forcing the wavelet coefficients to zero and the inverse wavelet transform is applied in order to produce reconstructed image with enhanced high frequency components. Further, the moments of the characteristic functions of these reconstructed images provide additional image features. Moreover, the statistics (mean, variance, skewness and kurtosis) of 2-D phase congruency array associated with the reconstructed images provide additional image features for splicing detection. These inputs provide a 120 dimensional image feature vector that includes 96 moment features and 24 phase features.
    • 本发明的实施例是一种新颖的拼接检测方案,其通过区分通过利用给定图像的幅度和相位信息提取的图像特征来检测拼接图像。 图像特征包括测试图像的小波子带的特征函数的统计矩和预测误差图像。 另外,通过强制小波系数为0,并且应用逆小波变换来产生不同级别的近似(LL)子带,以便产生具有增强的高频分量的重构图像。 此外,这些重建图像的特征功能的时刻提供附加的图像特征。 此外,与重建图像相关联的二维相位一致阵列的统计(平均值,方差,偏度和峰度)为拼接检测提供了额外的图像特征。 这些输入提供了120维图像特征向量,其包括96个矩形特征和24个相位特征。