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Retrieval of Bitmap Compression History

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Author(s): Salma Hamdy | Haytham El-Messiry | Mohamed Roushdy | Essam Kahlifa

Journal: International Journal of Computer Science and Information Security
ISSN 1947-5500

Volume: 8;
Issue: 8;
Start page: 141;
Date: 2010;
Original page

Keywords: Digital image forensics | forgery detection | compression history | Quantization tables

ABSTRACT
The histogram of Discrete Cosine Transform coefficients contains information on the compression parameters for JPEGs and previously JPEG compressed bitmaps. In this paper we extend the work in [1] to identify previously compressed bitmaps and estimate the quantization table that was used for compression, from the peaks of the histogram of DCT coefficients. This can help in establishing bitmap compression history which is particularly useful in applications like image authentication, JPEG artifact removal, and JPEG recompression with less distortion. Furthermore, the estimated table calculates distortion measures to classify the bitmap as genuine or forged. The method shows good average estimation accuracy of around 92.88% against MLE and autocorrelation methods. In addition, because bitmaps do not experience data loss, detecting inconsistencies becomes easier. Detection performance resulted in an average false negative rate of 3.81% and 2.26% for two distortion measures, respectively.
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