双压缩JPEG图像的鲁棒识别

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摘要翻译：
众所周知，上传到社交网络(SNs)的JPEG图像大多是由社交网络提供商重新压缩的。针对这种情况，本文提出了一种新的双压缩JPEG图像识别方案。其目的是检测与双压缩图像具有相同原始图像的单压缩图像。该方案利用DCT系数中仅有DC系数的符号和一个阈值进行识别。它们的使用使我们能够稳健地避免由双重压缩引起的误差，而这种误差在常规方案中是没有考虑的。该方案不仅可用于查找与双压缩图像对应的上传图像，还可用于检测图像的完整性。仿真结果表明，该算法在查询性能上优于传统的图像散列算法，包括目前最先进的图像散列算法。
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英文标题：
《Robust Image Identification for Double-Compressed JPEG Images》
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作者：
Kenta Iida, Hitoshi Kiya
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最新提交年份：
2018
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Image and Video Processing        图像和视频处理
分类描述：Theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications. Topics of interest include: mathematical, statistical, and perceptual image and video modeling and representation; linear and nonlinear filtering, de-blurring, enhancement, restoration, and reconstruction from degraded, low-resolution or tomographic data; lossless and lossy compression and coding; segmentation, alignment, and recognition; image rendering, visualization, and printing; computational imaging, including ultrasound, tomographic and magnetic resonance imaging; and image and video analysis, synthesis, storage, search and retrieval.
用于图像、视频和多维信号的形成、捕获、处理、通信、分析和显示的理论、算法和体系结构。感兴趣的主题包括：数学，统计，和感知图像和视频建模和表示；线性和非线性滤波、去模糊、增强、恢复和重建退化、低分辨率或层析数据；无损和有损压缩编码；分割、对齐和识别；图像渲染、可视化和打印；计算成像，包括超声、断层和磁共振成像；以及图像和视频的分析、合成、存储、搜索和检索。
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一级分类：Computer Science        计算机科学
二级分类：Information Retrieval        信息检索
分类描述：Covers indexing, dictionaries, retrieval, content and analysis. Roughly includes material in ACM Subject Classes H.3.0, H.3.1, H.3.2, H.3.3, and H.3.4.
涵盖索引，字典，检索，内容和分析。大致包括ACM主题课程H.3.0、H.3.1、H.3.2、H.3.3和H.3.4中的材料。
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英文摘要：
  It is known that JPEG images uploaded to social networks (SNs) are mostly re-compressed by the social network providers. Because of such a situation, a new image identification scheme for double-compressed JPEG images is proposed in this paper. The aim is to detect single-compressed images that have the same original image as that of a double-compressed one. In the proposed scheme, the signs of only DC coefficients in DCT coefficients and one threshold value are used for the identification. The use of them allows us to robustly avoid errors caused by double-compression, which are not considered in conventional schemes. The proposed scheme has applications not only to find uploaded images corresponding to double-compressed ones, but also to detect some image integrity. The simulation results demonstrate that the proposed one outperforms conventional ones including state-of-art image hashing one in terms of the querying performance.
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PDF链接：
https://arxiv.org/pdf/1807.06928

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关键词：JPEG PEG JPE Conventional coefficients coefficients compressed 避免 double 图像