.png){kind=icon}
返回
Source camera identification from image texture features
.png){kind=icon}
PRE
AI
DOI：10.1016/j.neucom.2016.05.012.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Source camera identification enables forensic investigator to discover the probable source model that are employed to acquire the image under investigation. It is important whenever digital content is presented as a silent witness. In this paper, we present a source camera identification method via linage texture features that are extracted from well selected color model and color channel. Except to distinguish source camera models from images whatever they are captured via same or different brand cameras, the main contributions of the proposed method are as follows: (1) It can distinguish imaging device individuals from images even if they are taken by using same brand and model of devices. (2) It is robust for content preserving manipulations or geometric distortions, such as JEPG compression, adding noise, and rotation and scaling. The experimental results demonstrate that the performance of the proposed method is satisfactory. Compared with the state-of-the-art methods, the proposed method is superior in both detection accuracy and robustness. (C) 2016 Elsevier B.V. All rights reserved.
Keyword:
Source camera identification
Local Binary Pattern (LBP)
Local Phase Quantization (LPQ)
Support vector machine (SVM)
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.5
论文数:
2.5W
被引数:
6.5W
机构
暂无机构信息
引用论文
The impact of surgeon’s experience and sex on the incidence of cystoid macular edema after uneventful cataract surgery.png)
PLOS ONE
OAAI
PLOS ONEIF0
OAAI分享收藏Robust video watermarking for wireless multimedia communications2000 IEEE Wireless Communications and Networking Conference. Conference Record (Cat. No.00TH8540)
2000 IEEE Wireless Communications and Networking Conference. Conference Record (Cat. No.00TH8540)IF0
PREAI
分享收藏
Photosynthetic parameters, dark respiration and leaf traits in the canopy of a Peruvian tropical montane cloud forestOecologia
OecologiaIF0
PREAI
分享收藏
查看更多内容