Robust first quantization matrix estimation based on filtering of recompression artifacts for non-aligned double compressed JPEG images
作者：
Highlights：
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• Novel first quantization matrix estimation method for non-aligned DJPEG images.
• Proposed method based on analyzing recompression artifacts.
• Two histogram filtering methods proposed, BAE filtering and residual noise filtering.
• Novel DCT histogram comparison and selection strategy proposed to estimate q1.
• Comparative analysis carried out with state-of-the-art method of Bianchi and Piva.
摘要
•Novel first quantization matrix estimation method for non-aligned DJPEG images.•Proposed method based on analyzing recompression artifacts.•Two histogram filtering methods proposed, BAE filtering and residual noise filtering.•Novel DCT histogram comparison and selection strategy proposed to estimate q1.•Comparative analysis carried out with state-of-the-art method of Bianchi and Piva.
论文关键词：Image forensics,Non-aligned grid,Double JPEG,Recompression artifacts,DCT histograms
论文评审过程：Received 2 March 2017, Revised 29 October 2017, Accepted 29 October 2017, Available online 10 November 2017, Version of Record 20 November 2017.
论文官网地址：https://doi.org/10.1016/j.image.2017.10.011
