Image copying and pasting forgery passive detection method

A copy-paste and detection method technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of increasing the workload of feature extraction and reducing the detection efficiency, so as to reduce the workload, improve the detection efficiency and ensure the accuracy Effect

Pending Publication Date: 2020-10-09
STATE GRID GASU ELECTRIC POWER RES INST +2
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Problems solved by technology

Whether it is a point method or a block method, in the copy-paste forgery detection, the extraction of feature information is the key to ensure the accuracy of the detection results. In order to improve the reliability of feature extractio...

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  • Image copying and pasting forgery passive detection method
  • Image copying and pasting forgery passive detection method
  • Image copying and pasting forgery passive detection method

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Embodiment

[0091] Such as figure 1 As shown, an image copy-paste forgery passive detection method includes the following steps:

[0092] S1. Input the forged image to be detected, and perform preprocessing on the forged image to be detected;

[0093] S2. Based on the method of self-selecting sub-images, obtain suspected forged sub-images from the pre-processed forged images to be detected;

[0094] S3. Using an improved PCNN (Pulse Coupled Neural Network, Pulse Coupled Neural Network) to extract features from suspected forged sub-images;

[0095] S4. By means of double-feature matching, combined with the features extracted in step S3, locate the image forgery area in the image to be detected for forgery, wherein the image forgery area includes a copy area and a paste area.

[0096] The above method is applied to this embodiment, and the specific detection process is as follows figure 2 As shown, the implementation platform of this embodiment is Intel(R) Core(TM) i9-9900K CPU@3.60GHz ...

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Abstract

The invention relates to an image copying and pasting forgery passive detection method, which comprises the following steps of: inputting a to-be-detected forgery image, and preprocessing the to-be-detected forgery image; based on a self-selection sub-image mode, obtaining a suspected forged sub-image from the preprocessed to-be-detected forged image; extracting features from the suspected forgedsub-images by adopting an improved PCNN; and through a double-feature matching mode, combining the features of the plurality of suspected forged sub-images, and performing positioning in the to-be-detected forged image to obtain an image forged region, the image forged region comprising a copy region and a paste region. Compared with the prior art, the method has the advantages that the sub-imageself-selection mode is adopted, the PCNN is improved, the detection speed can be increased, the characteristic of high robustness can be extracted, and therefore the efficiency and accuracy of copy and paste image counterfeiting detection are improved.

Description

technical field [0001] The invention relates to the technical field of image forensics and forgery detection, in particular to a passive detection method for image copy and paste forgery. Background technique [0002] With the development of 5G technology, the application of Internet digital media is becoming more and more extensive, and the security and authenticity of digital images are getting more and more attention. Existing image editing software, such as Photoshop, is powerful enough to allow digital images to be easily forged at a very low cost without leaving any traces. Copy-paste forgery is the most common type of forgery, which involves copying part of an image and pasting it elsewhere in the image to hide or double important information. [0003] Image copy-paste forgery detection technology can be divided into two categories: active detection and passive detection (ie blind detection). Active detection needs to actively preprocess the image when the image is ...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T7/11G06T7/136G06T7/155G06T7/90G06K9/00
CPCG06T5/002G06T7/11G06T7/136G06T7/155G06T7/90G06F2218/08G06F2218/12
Inventor 张驯白万荣王蓉魏峰宋曦杨凡田秀霞周国帅
Owner STATE GRID GASU ELECTRIC POWER RES INST
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