Blind image splicing detection via noise level function

作者：

Highlights：

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• Investigating the influence of textures and edges on noise variance estimation.

• Constructing noise level function to reflect the relationship between noise variance and sharpness.

• A novel framework for image splicing detection based on noise level function is proposed.

摘要

•Investigating the influence of textures and edges on noise variance estimation.•Constructing noise level function to reflect the relationship between noise variance and sharpness.•A novel framework for image splicing detection based on noise level function is proposed.

论文关键词：Image forensics,Image splicing detection,Noise level function,Noise variance estimation

论文评审过程：Received 29 October 2017, Revised 29 July 2018, Accepted 31 July 2018, Available online 10 August 2018, Version of Record 23 August 2018.

论文官网地址：https://doi.org/10.1016/j.image.2018.07.012