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首页> 外文期刊>International journal of web information systems >SAE based unified double JPEG compression detection system for Web image forensics
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SAE based unified double JPEG compression detection system for Web image forensics

机译：基于SAE的统一双JPEG压缩检测系统，用于Web图像取证

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摘要

Purpose - Recently, the double joint photographic experts group (JPEG) compression detection tasks have been paid much more attention in the field of Web image forensics. Although there are several useful methods proposed for double JPEG compression detection when the quantization matrices are different in the primary and secondary compression processes, it is still a difficult problem when the quantization matrices are the same. Moreover, those methods for the different or the same quantization matrices are implemented in independent ways. The paper aims to build a new unified framework for detecting the doubly JPEG compressioa Design/methodology/approach - First, the Y channel of JPEG images is cut into 8×8 nonoverlapping blocks, and two groups of features that characterize the artifacts caused by doubly JPEG compression with the same and the different quantization matrices are extracted on those blocks. Then, the Riemannian manifold learning is applied for dimensionality reduction while preserving the local intrinsic structure of the features. Finally, a deep stack autoencoder network with seven layers is designed to detect the doubly JPEG compressioa Findings - Experimental results with different quality factors have shown that the proposed approach performs much better than the state-of-the-art approaches. Practical implications - To verify the integrity and authenticity of Web images, the research of double JPEG compression detection is increasingly paid more attentions. Originality/value - This paper aims to propose a unified framework to detect the double JPEG compression in the scenario whether the quantization matrix is different or not, which means this approach can be applied in more practical Web forensics tasks.
机译：目的 - 最近，双关节照相专家组（JPEG）压缩检测任务已经在网页映像取证领域得到了更多的关注。尽管当量化矩阵在主压缩过程中的量化矩阵不同时，提出了几种用于双JPEG压缩检测的有用方法，但是当量化矩阵相同时，仍然是难题。此外，以独立方式实现了不同或相同量化矩阵的这些方法。本文旨在建立一个新的统一框架，用于检测双重JPEGCCRESTIOA设计/方法/方法 - 首先，将JPEG图像的Y通道切割成8×8的非向量块，以及两组特征，其特征是由双倍引起的伪影在这些块上提取具有相同和不同量化矩阵的JPEG压缩。然后，riemananian歧管学习用于维持特征的局部内在结构的同时施加维度减少。最后，设计具有七层层的深层堆栈自动化器网络旨在检测双重JPEGCressioA发现 - 具有不同质量因素的实验结果表明，该方法比最先进的方法更好地表现得多。实际意义 - 验证Web图像的完整性和真实性，双JPEG压缩检测的研究越来越高兴地注意。原创性/值 - 本文旨在提出一个统一的框架，以检测量化矩阵是否不同的方案中的Double JPEG压缩，这意味着这种方法可以应用于更实用的Web取证任务。

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  • 作者

    Zhifeng Wang; Chi Zuo; Chunyan Zeng;

  • 作者单位

    School of Educational Information Technology/Hubei Research Center for Educational Informationization Central China Normal University Wuhan China;

    Department of Electrical Engineering and Computer Science Syracuse University Syracuse New York USA;

    Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System Hubei University of Technology Wuhan China;

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  • 正文语种 eng
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  • 关键词

    Double JPEG compression detection; Quantization matrices;

    机译：双JPEG压缩检测;量化矩阵;

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