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1.发明授权公开(公告)号：US10032265B2
公开(公告)日：2018-07-24
申请号：US15254325
申请日：2016-09-01
Applicant: Sam Houston State University
Inventor： Qingzhong Liu
Abstract: Methods and systems of detecting tampering in a digital image includes using hybrid large feature mining to identify one or more regions of an image in which tampering has occurred. Detecting tampering in a digital image with hybrid large feature mining may include spatial derivative large feature mining and transform-domain large feature mining. In some embodiments, known ensemble learning techniques are employed to address high feature dimensionality. detecting inpainting forgery includes mining features of a digital image under scrutiny based on a spatial derivative, mining one or more features of the digital image in a transform-domain; and detecting inpainting forgery in the digital image under scrutiny at least in part by the features mined based on the spatial derivative and at least in part by the features mined in the transform-domain.
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公开(公告)号：US09922389B2
公开(公告)日：2018-03-20
申请号：US14735921
申请日：2015-06-10
Applicant: Sam Houston State University
Inventor： Qingzhong Liu
CPC classification number: G06T1/0028 , G06T2201/0051 , G06T2201/0081 , G06T2201/0201
Abstract: A method of detecting tampering in a compressed digital image includes extracting one or more neighboring joint density features from a digital image under scrutiny and extracting one or more neighboring joint density features from an original digital image. The digital image under scrutiny and the original digital image are decompressed into a spatial domain. Tampering in the digital image under scrutiny is detected based on at least one difference in a neighboring joint density feature of the digital image under scrutiny and a neighboring joint density feature of the original image. In some embodiments, detecting tampering in the digital image under scrutiny includes detecting down-recompression of at least a portion of the digital image. In some embodiments, detecting tampering in the digital image includes detecting inpainting forgery in the same quantization.
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3.发明申请公开(公告)号：US20170091588A1
公开(公告)日：2017-03-30
申请号：US15254325
申请日：2016-09-01
Applicant: Sam Houston State University
Inventor： Qingzhong Liu
CPC classification number: G06T7/0002 , G06K9/00899 , G06K9/4609 , G06K9/522 , G06T1/0028 , G06T2201/0052 , G06T2201/0201 , G06T2207/20052
Abstract: Methods and systems of detecting tampering in a digital image includes using hybrid large feature mining to identify one or more regions of an image in which tampering has occurred. Detecting tampering in a digital image with hybrid large feature mining may include spatial derivative large feature mining and transform-domain large feature mining. In some embodiments, known ensemble learning techniques are employed to address high feature dimensionality. detecting inpainting forgery includes mining features of a digital image under scrutiny based on a spatial derivative, mining one or more features of the digital image in a transform-domain; and detecting inpainting forgery in the digital image under scrutiny at least in part by the features mined based on the spatial derivative and at least in part by the features mined in the transform-domain.
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4.发明申请RICH FEATURE MINING TO COMBAT ANTI-FORENSICS AND DETECT JPEG DOWN-RECOMPRESSION AND INPAINTING FORGERY ON THE SAME QUANTIZATION 有权丰富的特征采矿来组合防伪和检测JPEG下恢复和在同一数量上强化伪造公开(公告)号：US20160132985A1
公开(公告)日：2016-05-12
申请号：US14735921
申请日：2015-06-10
Applicant: Sam Houston State University
Inventor： Qingzhong Liu
CPC classification number: G06T1/0028 , G06T2201/0051 , G06T2201/0081 , G06T2201/0201
Abstract: A method of detecting tampering in a compressed digital image includes extracting one or more neighboring joint density features from a digital image under scrutiny and extracting one or more neighboring joint density features from an original digital image. The digital image under scrutiny and the original digital image are decompressed into a spatial domain. Tampering in the digital image under scrutiny is detected based on at least one difference in a neighboring joint density feature of the digital image under scrutiny and a neighboring joint density feature of the original image. In some embodiments, detecting tampering in the digital image under scrutiny includes detecting down-recompression of at least a portion of the digital image. In some embodiments, detecting tampering in the digital image includes detecting inpainting forgery in the same quantization.
Abstract translation: 检测压缩数字图像中的篡改的方法包括从仔细检查的数字图像中提取一个或多个相邻关节密度特征，并从原始数字图像提取一个或多个相邻关节密度特征。 经审查的数字图像和原始数字图像被解压缩成空间域。 基于仔细检查的数字图像的相邻关节密度特征和原始图像的相邻关节密度特征中的至少一个差异来检测在检查中的数字图像中的篡改。 在一些实施例中，检测数字图像中的篡改包括检测数字图像的至少一部分的下压缩。 在一些实施例中，检测数字图像中的篡改包括在相同的量化中检测伪像伪造。
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