Picture counterfeiting detection method based on shadow matte consistency

A technology for forgery detection and consistency, applied in image analysis, image data processing, instruments, etc., can solve problems such as failure and unmeasurable human eye area, and achieve the effect of high feasibility and applicability, and low computational complexity.

Inactive Publication Date: 2009-09-09
TIANJIN UNIV
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Problems solved by technology

This method has relatively high accuracy only when the eye area is large enough. Considering the size of the current mainstream camera resolution, the human eye area

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  • Picture counterfeiting detection method based on shadow matte consistency
  • Picture counterfeiting detection method based on shadow matte consistency
  • Picture counterfeiting detection method based on shadow matte consistency

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Embodiment Construction

[0023] The shadow-based image forgery detection method of the present invention takes the following steps to detect image forgery.

[0024] For the obtained image or video frame, use the physical characteristics of the shadow: shadow matte to judge the authenticity of the image. Specifically, for the shadows of different objects in the image, first extract the shadow boundary, then calculate the shadow matte value of each point on the shadow edge, and finally count the distribution of all shadow matte values, and use the Bhattacharyya coefficient [5] as the similarity According to the evaluation standard, at least one of the two shadows with a low similarity is forged, and the comparison of multiple pairs of shadows of different objects can determine which object is forged.

[0025] 1. Select the shadow area.

[0026] In the image, select n shadow regions R1, R2, . . . , Rn to be determined, where n>1.

[0027] 2. Extract shadow edge points.

[0028] For the i-th shadow are...

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Abstract

The invention belongs to the technical field of digital image authenticity identification and image processing, and relates to a picture counterfeiting detection method based on shadow matte consistency. The method comprises the following steps: finding out two or more shadow areas to be judged in an image to be detected, for each shadow area, extracting all boundary points of shadows; for each boundary point as a center, extending outwards to form an M*M rectangular area, classifying the points in a frame into two, namely points in the shadows and point out of the shadows, and calculating shadow matte values of the shadow boundary points; counting the distribution condition of the shadow matte value of each shadow area; and calculating the distribution similarity of the shadow matte values of different areas, and positioning counterfeiting areas. The method does not need to preprocess the images, has the advantage of low calculating complexity and has higher feasibility and applicability.

Description

technical field [0001] The invention relates to the technical fields of digital image authenticity identification and image processing. The invention belongs to the technical field of digital image authenticity identification and image processing, and in particular relates to a method for detecting forgery of a picture. Background technique [0002] With the rapid development of image editing and processing tools, even non-professional ordinary users can easily tamper with the image by inserting content from other images in the original image, and it is difficult for human eyes to distinguish, so as to achieve the purpose of confusing the real. Bring us a lot of inconvenience. Digital image authenticity appraisal technology evaluates the credibility of image evidence and assists in news, military, legal, economic and other decision-making, and can be widely used in military and civilian fields. The invention takes the shadow of the object as an entry point, analyzes the sh...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/13
Inventor 操晓春张炜邾继贵王萍
Owner TIANJIN UNIV
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