PRNU registration under scale and rotation transform based on convolutional neural networks

作者：

Highlights：

• PRNU is a noise pattern extracted from images used to identify the source camera.

• Correlation of image and camera reference PRNUs is used for camera identification.

• Even slight de-synchronization of PRNU signals can spoil the identification.

• This paper presents a novel method to register scaled and rotated PRNU signals.

• PRNU registration is obtained using a deep convolutional network.

摘要

•PRNU is a noise pattern extracted from images used to identify the source camera.•Correlation of image and camera reference PRNUs is used for camera identification.•Even slight de-synchronization of PRNU signals can spoil the identification.•This paper presents a novel method to register scaled and rotated PRNU signals.•PRNU registration is obtained using a deep convolutional network.

论文关键词：Image forensics,PRNU,Deep learning,CNN,Rotation,Scale

论文评审过程：Received 12 March 2021, Revised 12 August 2021, Accepted 30 October 2021, Available online 3 November 2021, Version of Record 2 January 2022.

论文官网地址：https://doi.org/10.1016/j.patcog.2021.108413