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Image counterfeiting detection algorithm based on multi-support area local brightness sequence

A local brightness and forgery detection technology, which is applied in computing, computer components, instruments, etc., can solve the problems of image forgery detection algorithm, such as complex calculation, inability to handle nonlinear brightness changes well, easy to generate errors, etc., to reduce calculation Effects of complexity, improved discrimination, and improved robustness

Inactive Publication Date: 2019-10-18
ANHUI UNIVERSITY OF ARCHITECTURE
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Problems solved by technology

[0005] The purpose of the present invention is to provide an image forgery detection algorithm based on multi-support area local brightness sequence in order to solve the above-mentioned image forgery detection algorithm which is complex in calculation, easy to generate errors and unable to handle nonlinear brightness changes well. The advantages of reducing the amount of calculation, reducing errors, and solving the problem of brightness transformation

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  • Image counterfeiting detection algorithm based on multi-support area local brightness sequence
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  • Image counterfeiting detection algorithm based on multi-support area local brightness sequence

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[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0021] Such as figure 1 As shown, an image forgery detection algorithm based on the local brightness sequence of multiple support regions includes the following steps:

[0022] S1. Detection of the feature area to determine the feature point: first use the Gaussian filter to eliminate the influence of noise, and then use the maximum stable extremum region (MSER) ​​algorithm to extract the maximum stable extremum region of the image as the support area, and the...

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Abstract

The invention discloses an image counterfeiting detection algorithm based on a multi-support area local brightness sequence, which belongs to the technical field of image counterfeiting detection, andcomprises the following steps: S1, detecting a feature area to determine feature points; s2, converting a feature region; s3, constructing an LIOP descriptor in each feature region; s4, carrying outfeature matching; s5, carrying out feature point classification; s6, carrying out geometric transformation estimation; s7, completing detection. A support region is divided by using an LIOP descriptorand utilizing a global brightness sequence; the division does not need to calculate the main direction of the support area; the calculation amount is saved, it can be theoretically ensured that the constructed descriptor has real rotation invariance and monotonous brightness invariance, and meanwhile, multiple support regions with different scales, different resolutions and different directions are obtained through NSCT to improve the discriminability of the LIOP descriptor. Therefore, the robustness of the image counterfeit area detection algorithm is improved.

Description

technical field [0001] The invention relates to the technical field of image forgery detection, in particular to an image forgery detection algorithm based on local brightness order of multiple support regions. Background technique [0002] Digital images play a very important role in today's communication process. With the development of digital image processing software and modification equipment, digital images can be easily tampered without leaving any obvious traces of tampering, even non-professionals can easily use image editing tools (such as Photoshop) to modify existing images . The number of image manipulation and forgery is also growing rapidly, which brings great troubles to people in judging the originality and accuracy of an image, especially for judging the authenticity of images used as evidence in forensic identification. Therefore, identifying whether an image has been forged is crucial and can be widely used in crime scene investigation, forensic identi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/62
CPCG06V10/443G06F18/2321G06F18/22
Inventor 颜普
Owner ANHUI UNIVERSITY OF ARCHITECTURE
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