首页> 外文会议>Asia-Pacific Signal and Information Processing Association Annual Summit and Conference >Robust Image Identification for Double-Compressed and Resized JPEG Images
【24h】

Robust Image Identification for Double-Compressed and Resized JPEG Images

机译:双重压缩和调整大小的JPEG图像的稳健图像识别

获取原文
获取外文期刊封面目录资料

摘要

In the case that images are shared via social networking services (SNS) and cloud photo sharing services (CPSS), it is known that the JPEG images uploaded to the services are often re-compressed and resized by the providers. Because of such a situation, a new image identification scheme for double-compressed JPEG images having different sizes from that of a singled-compressed one is proposed in this paper. The aim is to detect a single-compressed image that has the same original image as the double-compressed ones, even when the sizes of those compressed images are different. In the proposed scheme, a feature extracted from only DC coefficients in DCT coefficients is used for the identification. The use of the feature allows us not only to robustly avoid errors caused by double-compression but also to perform the identification for different size images. The simulation results demonstrate the effectiveness of the proposed one in terms of the querying performance.
机译:在通过社交网络服务(SNS)和云照片共享服务(CPS)共享图像的情况下,已知上载到服务的JPEG图像通常由提供者重新压缩并调整大小。由于这种情况,本文提出了一种具有不同尺寸的双压缩JPEG图像的新图像识别方案,从本文中提出了不同尺寸的不同尺寸。目的是检测单压缩图像,即使当那些压缩图像的大小不同,也可以将具有与双压缩图像相同的原始图像的单压缩图像。在所提出的方案中,仅从DCT系数中的DC系数中提取的特征用于识别。该功能的使用允许我们不仅鲁布利地避免由双压缩引起的错误,而且还避免了对不同尺寸图像的识别。仿真结果表明了在查询性能方面提出的效果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号