Statistical Model of JPEG Noises and Its Application in Quantization Step Estimation

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Statistical Model of JPEG Noises and Its Application in Quantization Step Estimation
Title:
Statistical Model of JPEG Noises and Its Application in Quantization Step Estimation
Journal Title:
IEEE Transactions on Image Processing
Publication Date:
19 February 2015
Citation:
B. Li, T. T. Ng, X. Li, S. Tan and J. Huang, "Statistical Model of JPEG Noises and Its Application in Quantization Step Estimation," in IEEE Transactions on Image Processing, vol. 24, no. 5, pp. 1471-1484, May 2015. doi: 10.1109/TIP.2015.2405477
Abstract:
In this paper, we present a statistical analysis of JPEG noises, including the quantization noise and the rounding noise during a JPEG compression cycle. The JPEG noises in the first compression cycle have been well studied; however, so far less attention has been paid on the statistical model of JPEG noises in higher compression cycles. Our analysis reveals that the noise distributions in higher compression cycles are different from those in the first compression cycle, and they are dependent on the quantization parameters used between two successive cycles. To demonstrate the benefits from the analysis, we apply the statistical model in JPEG quantization step estimation. We construct a sufficient statistic by exploiting the derived noise distributions, and justify that the statistic has several special properties to reveal the ground-truth quantization step. Experimental results demonstrate that the proposed estimator can uncover JPEG compression history with a satisfactory performance.
License type:
PublisherCopyrights
Funding Info:
Description:
(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
ISSN:
1057-7149
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