Analysis of images for local artificial changes with JPEG compression properties

  • Authors:

  • N. I. Glumov;A. V. Kuznetsov

  • Affiliations:

  • Institute of Image Processing Systems, Russian Academy of Sciences, Samara, Russia 443110;Institute of Image Processing Systems, Russian Academy of Sciences, Samara, Russia 443110

  • Venue:
  • Pattern Recognition and Image Analysis
  • Year:
  • 2012

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Abstract

The authors have solved the problem of detecting the local artificial changes (falsifications) with JPEG compression properties [1]. The known methods for detecting these changes [2---4] describe only the distinctive properties of JPEG compressed images from those without compression. The authors have also developed an algorithm for detecting local embeddings with compression properties on the images and for determining the shifts of embedded JPEG blocks in relation to the embedding coordinates, which are multiples of eight. The relationship between the period of peaks at the spectrum of the histogram of DCT coefficients and the quality factor of the JPEG compression algorithm is found. The paper presents the numerical results on the quality of the true and false embedding detections for the developed algorithm.