Robust median filtering detection based on local difference descriptor

作者：

Highlights：

• A local difference descriptor for median filtering detection is proposed.

• The occurrence statistics of certain micro-features have discrimination capability.

• The distribution of micro-features is estimated by the histogram of LBP.

• Local pixel differences can better describe how pixel values change.

• Joint probability is suitable to describe the behavior of local difference pairs.

摘要

Highlights•A local difference descriptor for median filtering detection is proposed.•The occurrence statistics of certain micro-features have discrimination capability.•The distribution of micro-features is estimated by the histogram of LBP.•Local pixel differences can better describe how pixel values change.•Joint probability is suitable to describe the behavior of local difference pairs.

论文关键词：Image forensics,Median filtering,Local binary patterns,Pixel difference matrix,Local difference descriptor

论文评审过程：Received 19 November 2016, Revised 22 January 2017, Accepted 23 January 2017, Available online 24 January 2017, Version of Record 6 February 2017.

论文官网地址：https://doi.org/10.1016/j.image.2017.01.008