Double compression detection method and system of joint photographic experts group (JPEG) image

Abstract

The invention discloses a double compression detection method of a joint photographic experts group (JPEG) image. The method comprises the following steps of: correcting a JPEG image to be detected to obtain a reference image; extracting histograms of quantization discrete cosine transform (DCT) parameters of the JPEG image to be detected and the reference image, and calculating a characteristic value of each frequency according to the histograms; and performing pattern recognition on the characteristic values by using a trained classifier, and judging whether the JPEG image to be detected is subjected to double compression. In the double compression detection method of the JPEG image, because only one characteristic value of each frequency of the JPEG image to be detected and the reference image is extracted, the number of the characteristic values is small, and the training time of the classifier is short; and the characteristic values are effectively extracted, so that judgment accuracy rate is high, and performance is stable. Moreover, the invention also provides a double compression detection system of the JPEG image.

Description

【Technical field】 [0001] The invention relates to image processing technology, in particular to a JPEG image double compression detection method and system. 【Background technique】 [0002] JPEG (Joint Photographic Experts Group, Joint Photographic Experts Group) lossy compression technology can effectively remove redundant image information (such as visual redundancy, frequency redundancy, etc.), has a high file compression rate and detail fidelity, and Provides a mechanism for trade-off between the two (by choosing different compression quality factors), so it is widely used in image ingestion equipment and network transmission. However, the rapid development of image processing technology makes it easier to tamper with JPEG images without leaving visual traces; the maturity of image steganography technology also makes the number of JPEG images carrying secret information on the Internet more and more. If these forged images or images carrying secret information cannot be ...

AI Technical Summary

Problems solved by technology

[0012] The distinguishing features extracted by these methods have not been effectively refined and have great redundancy, resulting in redundant feature vectors, time-consuming classifier training process, and the double compression detection effect of different quality factor combinations is not stable enough

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