CN104661037B - 压缩图像量化表篡改的检测方法和系统 - Google Patents
压缩图像量化表篡改的检测方法和系统 Download PDFInfo
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Qtable*/Qtable | 60/65 | 70/75 | 80/85 | 90/95 | 65/60 | 75/70 | 85/80 | 95/90 |
Qtable*/Qtable | 59/60 | 69/70 | 80/81 | 90/91 | 60/59 | 70/69 | 81/80 | 91/90 |
Qtable*/Qtable | 59/60 | 69/70 | 80/81 | 90/91 | 60/59 | 70/69 | 81/80 | 91/90 |
Accuracy(%) | 94.58 | 97.72 | 99.36 | 99.81 | 94.62 | 97.53 | 99.44 | 99.78 |
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Families Citing this family (9)
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CN106412583B (zh) * | 2015-07-27 | 2020-02-11 | 中兴通讯股份有限公司 | 一种图像压缩方法和装置 |
CN106488250B (zh) * | 2015-08-26 | 2019-05-07 | 中国科学院深圳先进技术研究院 | 一种估计jpeg双重压缩图像首压量化步长的方法和装置 |
CN106485316B (zh) * | 2016-10-31 | 2019-04-02 | 北京百度网讯科技有限公司 | 神经网络模型压缩方法以及装置 |
CN107464237A (zh) * | 2017-08-04 | 2017-12-12 | 平安科技(深圳)有限公司 | 图像篡改检测方法、电子装置及可读存储介质 |
CN107578453B (zh) * | 2017-10-18 | 2019-11-01 | 北京旷视科技有限公司 | 压缩图像处理方法、装置、电子设备及计算机可读介质 |
CN108537762B (zh) * | 2017-12-29 | 2019-12-24 | 西安电子科技大学 | 基于深度多尺度网络的二次jpeg压缩图像取证方法 |
CN108510083B (zh) * | 2018-03-29 | 2021-05-14 | 国信优易数据股份有限公司 | 一种神经网络模型压缩方法以及装置 |
CN110363207A (zh) * | 2018-04-09 | 2019-10-22 | 阿里巴巴集团控股有限公司 | 图像检测和分类器模型的生成方法、装置及设备 |
CN110519595A (zh) * | 2019-08-08 | 2019-11-29 | 浙江大学 | 一种基于频域量化损失估计的jpeg压缩图像复原方法 |
Citations (3)
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CN1925546A (zh) * | 2006-07-20 | 2007-03-07 | 中山大学 | 一种数码相机jpeg图像的真伪鉴别方法 |
KR20100137989A (ko) * | 2009-06-24 | 2010-12-31 | 대한민국(관리부서:행정안전부 국립과학수사연구원장) | 디지털사진 위조 검출 방법 |
CN102957915A (zh) * | 2012-11-15 | 2013-03-06 | 西安理工大学 | 针对双重jpeg压缩图像的篡改检测及篡改定位方法 |
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CN1925546A (zh) * | 2006-07-20 | 2007-03-07 | 中山大学 | 一种数码相机jpeg图像的真伪鉴别方法 |
KR20100137989A (ko) * | 2009-06-24 | 2010-12-31 | 대한민국(관리부서:행정안전부 국립과학수사연구원장) | 디지털사진 위조 검출 방법 |
CN102957915A (zh) * | 2012-11-15 | 2013-03-06 | 西安理工大学 | 针对双重jpeg压缩图像的篡改检测及篡改定位方法 |
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