Quantization table estimation in JPEG images

Salma Hamdy, Haytham El-Messiry, Mohamed Roushdy, Essam Kahlifa

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Most digital image forgery detection techniques require the doubtful image to be uncompressed and in high quality. However, most image acquisition and editing tools use the JPEG standard for image compression. The histogram of Discrete Cosine Transform coefficients contains information on the compression parameters for JPEGs and previously compressed bitmaps. In this paper we present a straightforward method to estimate the quantization table from the peaks of the histogram of DCT coefficients. The estimated table is then used with two distortion measures to deem images as untouched or forged. Testing the procedure on a large set of images gave a reasonable average estimation accuracy of 80% that increases up to 88% with increasing quality factors. Forgery detection tests on four different types of tampering resulted in an average false negative rate of 7.95% and 4.35% for the two measures respectively.
Original languageEnglish
Article number3
Pages (from-to)17-23
Number of pages7
JournalInternational Journal of Advanced Computer Science and Applications
Issue number6
Publication statusPublished - Dec 2010
Externally publishedYes


  • Digital image forensics
  • Forgery detection
  • Compression history
  • Quantization tables


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