Source camera model identification based on convolutional neural networks with local binary patterns coding

作者：

Highlights：

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• A novel source camera model identification method using CNN is proposed.

• Local binary patterns coding is used to reduce the influence of scene details.

• Extensive experiments demonstrate the effectiveness of the proposed method.

摘要

•A novel source camera model identification method using CNN is proposed.•Local binary patterns coding is used to reduce the influence of scene details.•Extensive experiments demonstrate the effectiveness of the proposed method.

论文关键词：Camera model identification,Image forensics,Convolutional neural networks (CNNs),Local binary patterns (LBP)

论文评审过程：Received 2 December 2017, Revised 21 June 2018, Accepted 2 August 2018, Available online 4 August 2018, Version of Record 23 August 2018.

论文官网地址：https://doi.org/10.1016/j.image.2018.08.001