ACS Applied Computer Science

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The paper presents two methods of prior JPEG-compression detection.In the first method the histogram of chrominance is analysed. In JPEG-compressed images the  histogram contains significantly more local maxima than in uncompressed files. The second method is based on neighbouring pixel O value difference. In JPEG-compressed image the distribution of these values is different than the distribution counted on the edges of compression 8x8 blocks. These differences are summed up to create a classifier that allows to assess if the image was compressed.
  • APA 6th style
Koziel, G. (2016). Prior image JPEG-compression detection. Applied Computer Science, 12(3), 17-28. 
  • Chicago style
Koziel, Grzegorz. "Prior Image Jpeg-Compression Detection." Applied Computer Science 12, no. 3 (2016): 17-28.
  • IEEE style
G. Koziel, "Prior image JPEG-compression detection," Applied Computer Science, vol. 12, no. 3, pp. 17-28, 2016.
  • Vancouver style
Koziel G. Prior image JPEG-compression detection. Applied Computer Science. 2016;12(3):17-28.