Chapter

Digital Watermarking

Volume 6526 of the series Lecture Notes in Computer Science pp 120-133

Tampered Region Localization of Digital Color Images Based on JPEG Compression Noise

  • Wei WangAffiliated withLancaster UniversityNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
  • , Jing DongAffiliated withLancaster UniversityNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
  • , Tieniu TanAffiliated withLancaster UniversityNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences

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Abstract

With the availability of various digital image edit tools, seeing is no longer believing. In this paper, we focus on tampered region localization for image forensics. We propose an algorithm which can locate tampered region(s) in a lossless compressed tampered image when its unchanged region is output of JPEG decompressor. We find the tampered region and the unchanged region have different responses for JPEG compression. The tampered region has stronger high frequency quantization noise than the unchanged region. We employ PCA to separate different spatial frequencies quantization noises, i.e. low, medium and high frequency quantization noise, and extract high frequency quantization noise for tampered region localization. Post-processing is involved to get final localization result. The experimental results prove the effectiveness of our proposed method.

Keywords

Image forensics Tampered region localization JPEG compression noise PCA