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Forgery detection method for spliced and distorted digital photos

A technology for forgery detection and photos, which is applied in the field of digital photo forgery detection for splicing and tampering, can solve problems such as changes in spatial perspective relations, and achieve high estimation accuracy, accurate forgery detection effects, and good versatility

Active Publication Date: 2012-07-25
神州网云(北京)信息技术有限公司
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  • Abstract
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AI Technical Summary

Problems solved by technology

In addition, rotation in photo forgery will also lead to resampling operations, and pasting or splicing may also lead to changes in spatial perspective relationships

Method used

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  • Forgery detection method for spliced and distorted digital photos
  • Forgery detection method for spliced and distorted digital photos
  • Forgery detection method for spliced and distorted digital photos

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Embodiment Construction

[0041] The present invention will be described in detail below in conjunction with the embodiments and accompanying drawings, but the present invention is not limited thereto.

[0042] A digital photo forgery detection method for mosaic tampering, comprising the following steps:

[0043] (1) divide the color digital photo into three primary color planes of R, G and B;

[0044] (2) Obtain the set of suspected tampering points of the R primary color plane through the following steps:

[0045] (2.1) Select several groups of color-missing pixel pairs on the R base color plane to form a training sample set, and use the training sample set to train the Radial Basis Function (RBF) neural network. After the training is completed, obtain the approximate Approximate function f'; wherein, each group of color-missing pixel point pair is composed of one color-missing pixel point and 8 neighboring points around the color-missing pixel point as the center.

[0046] The color-missing pixels...

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Abstract

The invention discloses a forgery detection method for spliced and distorted digital photos, comprising the steps of selecting random pixels; using the resampling and neural network algorithm to perform loop iteration so as to estimate CFA (color filter array) interpolation in the digital photos; continuously removing suspicious distorted points by an error mean deviation degree model in the resampling and iteration computation, finally, obtaining an undistorted pixel set in the whole primary color plane; and performing CFA interpolation algorithm function estimation by the pixels in the set as standard, judging suspicious distorted points according to the error mean deviation degree model so as to judge if the digital photos are fake. The forgery detection method for the spliced and distorted digital photos is good in generality, less in erroneous judgment and more accurate in forgery detection effect.

Description

technical field [0001] The invention belongs to the technical field of digital image forensics, and in particular relates to a digital photo forgery detection method aimed at splicing and tampering. Background technique [0002] With the development of electronics, computers, information and other technologies, digital cameras have almost completely replaced the original film cameras in recent years and become an indispensable image recording device in our hands. Digital photos taken by digital cameras are not only easy to store but also easy to modify. Users can easily modify the digital photos they have taken through Photoshop, iPhoto, AcDsee and other tools to achieve the purpose of enhancing visual effects. However, this feature of digital photos is a double-edged sword. While bringing convenience and happiness to our lives, it also brings a problem that we have to face—the tampering and forgery of digital photos. For example, in 2006, the top ten news pictures of the y...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 张华熊黄海胡洁薛福冰
Owner 神州网云(北京)信息技术有限公司
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