Blind detection method for median filter in digital image

Abstract

The invention provides a blind detection method for median filter in a digital image. The method analyzes excellent characteristics of the median filter in preserving edges of the image, and uses the statistics characteristics of a fringe area for detecting that whether an image is subjected to medium filtering with the combination of the influences of medium filtering treatment on adjacent pixel relevance and the inhabitation of the medium filtering treatment on noises. According to the blind detection method, the image is divided into subblocks which are not mutually overlapped, the subblocks are then divided into different types according to the gradient characteristics of the subblocks, neighbourhood linear prediction model treatment is conducted on the subblocks to extract prediction coefficients of the subblocks to form an edge based predication matrix (EBPM), then the EBPM characteristics are used as input of a support vector machine for training so as to obtain a medium filter detector, so that the detector can detect that whether the image is subjected to medium filtering. By the control method, the image subjected to the medium filtering can be accurately detected, the method has excellent robustness, can effectively resist JPEG compression treatment and belongs to the field of image authentication.

Description

technical field [0001] The invention belongs to the field of image authentication, in particular to a blind detection method of digital image median filtering. Background technique [0002] In the past ten years, due to the development of multimedia technology and equipment, digital images have been widely used in news media, court evidence and military affairs. At the same time, with the popularity and widespread use of digital image editing software, it is easy for individuals to process or even maliciously forge and tamper with digital images, destroying the originality, authenticity and reliability of the images. Therefore, we need to authenticate images to judge their originality and authenticity. Image blind forensics technology is a hot spot in the field of image authentication in recent years. Different from traditional active forensics technologies such as digital watermarking and digital signatures, image blind forensics technology does not require preprocessing o...

AI Technical Summary

Problems solved by technology

At present, the detection of the median filter mainly depends on the statistical characteristics of the first-order difference, and because the first-order difference is sensitive to quantization and rounding processing, it cannot effectively resist JPEG compression

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