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Quantization Table Estimation in JPEG Images
2010
International Journal of Advanced Computer Science and Applications
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.
doi:10.14569/ijacsa.2010.010603
fatcat:77nz2eul7rhuddr75xtawembsi