首页> 外国专利> Rich feature mining to combat anti-forensics and detect JPEG down-recompression and inpainting forgery on the same quantization

Rich feature mining to combat anti-forensics and detect JPEG down-recompression and inpainting forgery on the same quantization

机译:丰富的特征挖掘功能可与反取证作斗争,并在同一量化下检测JPEG向下压缩和修复伪造

摘要

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.
机译:一种在压缩的数字图像中检测篡改的方法,包括在仔细检查下从数字图像中提取一个或多个相邻关节密度特征,以及从原始数字图像中提取一个或多个相邻关节密度特征。经过审查的数字图像和原始数字图像被解压缩到空间域中。基于被检查的数字图像的相邻关节密度特征和原始图像的相邻的关节密度特征中的至少一个差异,来检测被检查的数字图像中的篡改。在一些实施例中,在仔细检查下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向下压缩。在一些实施例中,检测数字图像中的篡改包括以相同的量化来检测修复伪造。

著录项

  • 公开/公告号US9922389B2

    专利类型

  • 公开/公告日2018-03-20

    原文格式PDF

  • 申请/专利权人 SAM HOUSTON STATE UNIVERSITY;

    申请/专利号US201514735921

  • 发明设计人 QINGZHONG LIU;

    申请日2015-06-10

  • 分类号G06K9/00;G06K9/46;G06K9/40;G06T1/00;

  • 国家 US

  • 入库时间 2022-08-21 12:57:41

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