Photo image tampering detection method through nonlinear guided filtering

Abstract

The invention discloses a photo image tampering detection method through nonlinear guided filtering. According to the method, first, a maximum likelihood estimation method is adopted to obtain preliminary sensor mode noise of a camera, and then a final sensor mode noise of the camera is obtained through zero mean normalization and Wiener filtering; second, a noise residual image of a to-be-detected photo image is used as preliminary sensor mode noise of the to-be-detected photo image, and then the preliminary sensor mode noise of the to-be-detected photo image is processed through nonlinear guided filtering according to the final sensor mode noise of the camera to obtain a final sensor mode noise of the to-be-detected photo image; third, a correlation coefficient association graph is acquired through partitioning and solving of correlation coefficients between blocks; and last, erosion and dilation processing is performed on a binary image of the correlation coefficient association graph, and whether the to-be-detected photo image is tampered is judged according to the result. The method has the advantages that influences of interference noise, such as image content, CFA interposition noise, JPEG compression noise and random noise, in the sensor mode noise of the to-be-detected photo image can be effectively eliminated.

Description

technical field [0001] The invention relates to an image forensics technology, in particular to a photo image tampering detection method using nonlinear guided filtering. Background technique [0002] With the popularization of various photographic products such as digital cameras, digital video cameras, and especially smartphones with camera functions, photo images have been widely used in people's daily life. As an important information carrier, photo images play an important role in news reports, scientific research, insurance complaint investigation, crime investigation, and intelligence analysis. However, in these special occasions, how to guarantee the authenticity of the photo image content as evidence has always been a challenging research topic. [0003] Generally speaking, the formation of each photo image has to go through a series of hardware and software operations such as photosensitive, imaging and image signal processing. Although these operations will inevi...

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Problems solved by technology

[0007] When obtaining the sensor pattern noise of the photo image to be tested, although the zero-mean method and the Wiener filter method (or spectral equalization method) can be used to eliminate the CFA interpolation noise and JPEG compression noise, since there is only one photo image to be tested, the image The content is random and uncontrollable, and the maximum likelihood estimation method (or average) cannot be used to eliminate random noise, so the sensor pattern noise of the photo image to be tested obtained by the existing method will still be polluted by interference noise such as image content and random noise, The quality is not ideal, which will affect the tamper detection results

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