...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Digital investigation >A local variance based approach to alleviate the scene content interference for source camera identification
【24h】

A local variance based approach to alleviate the scene content interference for source camera identification

机译：基于局部差异的方法，以减轻场景内容对源摄像机识别的干扰

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Identifying the source camera of images is becoming increasingly important nowadays. A popular approach is to use a type of pattern noise called photo-response non-uniformity (PRNU). The noise of image contains the patterns which can be used as a fingerprint. Despite that, the PRNU-based approach is sensitive towards scene content and image intensity. The identification is poor in areas having low or saturated intensity, or in areas with complicated texture. The reliability of different regions is difficult to model in that it depends on the interaction of scene content and the characteristics of the denoising filter used to extract the noise. In this paper, we showed that the local variance of the noise residual can measure the reliability of the pixel for PRNU-based source camera identification. Hence, we proposed to use local variance to characterize the severeness of the scene content artifacts. The local variance is then incorporated to the general matched filter and peak to correlation energy (PCE) detector to provide an optimal framework for signal detection. The proposed method is tested against several state-of-art methods. The experimental results show that the local variance based approach outperformed other state-of-the-art methods in terms of identification accuracy. (C) 2017 Elsevier Ltd. All rights reserved.
机译：如今，识别图像的源相机变得越来越重要。一种流行的方法是使用一种称为光响应非均匀性（PRNU）的图案噪声。图像的噪点包含可用作指纹的图案。尽管如此，基于PRNU的方法对场景内容和图像强度很敏感。在强度低或饱和的区域或质地复杂的区域，识别性差。很难对不同区域的可靠性进行建模，因为它取决于场景内容的相互作用以及用于提取噪声的降噪滤波器的特性。在本文中，我们证明了噪声残差的局部方差可以测量像素的可靠性，以用于基于PRNU的源摄像机识别。因此，我们建议使用局部方差来表征场景内容伪像的严重性。然后将局部方差合并到通用匹配滤波器和峰到相关能量（PCE）检测器中，以提供信号检测的最佳框架。针对几种最先进的方法对提出的方法进行了测试。实验结果表明，基于局部方差的方法在识别准确性方面优于其他最新方法。 （C）2017 Elsevier Ltd.保留所有权利。

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