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The Effect of Image Preprocessing Techniques and Varying JPEG Quality on the Identifiability of Digital Image Splicing Forgery

机译：图像预处理技术和JPEG质量变化对数字图像拼接伪造件可识别性的影响

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作者
Gubrud, Aaron;
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作者单位

Arizona State University;

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授予单位 Arizona State University;
学科
学位 M.S.
年度 2015
页码 94 p.
总页数 94
原文格式 PDF
正文语种 eng
中图分类
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2. Current Techniques in JPEG Image Authentication and Forgery Detection [J] . Nadeem Alherbawi, Zarina Shukur, Rossilawati Sulaiman Journal of Engineering & Applied Sciences . 2017,第1期

机译：JPEG图像认证和伪造检测中的当前技术
3. Review, analysis and parameterisation of techniques for copy–move forgery detection in digital images [J] . Rahul Dixit, Ruchira Naskar Image Processing, IET . 2017,第9期

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4. Discrete Cosine Transform Residual Feature Based Filtering Forgery and Splicing Detection in JPEG Images [C] . Aniket Roy, Diangarti Bhalang Tariang, Rajat Subhra Chakraborty, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops . 2018

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5. Optimization of digital x-ray fluoroscopy using quantitative image quality techniques. [D] . Manjeshwar, Ravindra Mohan. 2001

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6. Digital Image Forgery Detection Using JPEG Features and Local Noise Discrepancies [O] . Bo Liu, Chi-Man Pun, Xiao-Chen Yuan -1

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7. Digital Image Forgery Detection Using JPEG Features and Local Noise Discrepancies [O] . Bo Liu, Chi-Man Pun, Xiao-Chen Yuan 2014

机译：数字图像伪造检测使用JPEG功能和局部噪声差异
8. JPEG 2000 Compression of Direct Digital Images: Effects on the Detection of Periapical Radiolucencies and Perceived Image Quality [R] . Massey, M. A. 2003

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The Effect of Image Preprocessing Techniques and Varying JPEG Quality on the Identifiability of Digital Image Splicing Forgery

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