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Computer generated image passive detection method based on fractal dimension

A technology for generating images and fractal dimensions, applied in the detection field, can solve problems such as unsatisfactory detection and identification effects, immature mathematical models, etc., and achieve the effects of increased detection rate, improved complexity, and reduced processing capacity

Inactive Publication Date: 2010-02-24
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

However, because the mathematical model involved in this method is not very mature in theory, it needs to be further improved. Therefore, the final detection and identification effect of this method is still not very ideal.

Method used

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  • Computer generated image passive detection method based on fractal dimension
  • Computer generated image passive detection method based on fractal dimension
  • Computer generated image passive detection method based on fractal dimension

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Embodiment Construction

[0034] The embodiments of the present invention are described in detail below in conjunction with the accompanying drawings: this embodiment is implemented under the premise of the technical solution of the present invention, and detailed implementation methods and processes are provided, but the protection scope of the present invention is not limited to the following implementations example.

[0035] Such as figure 1 , figure 2 and image 3 As shown, this embodiment includes the following steps:

[0036] 1. Training phase

[0037]① Establishment of the training image library—select 400 natural images and 400 computer-generated images, the image format is jpeg, and the image size ranges from 400*600 to 1024*768. Part of the pictures are from Columbia University's photo library (http: / / www.ee.columbia.edu / ln / dvmm / downloads / PIM_PRCG_dataset / ), and the other part is from personal collection. The content of the pictures covers various aspects such as people, natural scenery...

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Abstract

The invention relates to a computer generated image passive detection method based on fractal dimension in the technical field of digital images, which comprises the following steps: firstly, respectively performing sub-block screening to images in a natural image and computer-generated image library in a training stage; secondly, respectively computing fractal dimension of each image sub-block, and further obtaining a set of eigenvectors; thirdly, training the series of eigenvectors by a support vector machine to obtain parameters of an optimized classifier; performing the similar processingto images to be detected to obtain a fractal eigenvector, and performing classification authentication by using the optimized classifier obtained in the training state to obtain a detection result. The invention increases an expression window on the basis of the traditional difference box fractal dimension method and a data multiplexing and variable box height mechanism based on dynamic planning idea, which enable the method to have greater improvement on computation complexity and detection rate.

Description

technical field [0001] The invention relates to a detection method in the technical field of digital images, in particular to a passive detection method for computer-generated images of fractal dimension. Background technique [0002] In recent years, the rapid development of computer image generation technology has made computer-generated images more and more close to real scenes, so that human eyes can hardly distinguish them from natural images, and the authenticity and uniqueness of images are greatly challenged. Computer-generated images are a major source of data for anti-counterfeit passive identification of digital image information. The identification and distinction between natural images and computer-generated images plays a vital role in many fields such as criminal investigation, news reporting, and intelligence analysis. Existing studies on passive identification of computer-generated images are few, and the results are not many. As far as the research work re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06T7/00
Inventor 张爱新李建华苏波李生红金波姚丹红陈香苹
Owner SHANGHAI JIAO TONG UNIV
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