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A Median Filter Detection Method Based on pca Network

A PCA network and detection method technology, applied in image enhancement, image analysis, instruments, etc., can solve the problems of low accuracy and long model training time, and achieve the effects of easier selection, avoiding network performance degradation, and short training time

Active Publication Date: 2020-04-14
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0016] The purpose of the present invention is to overcome the technical defects of low accuracy and long model training time in the existing image median filter detection algorithm in compressed images and small-size image median filter detection, and propose a median filter based on PCA network Filter detection method, hereinafter referred to as "this method"

Method used

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  • A Median Filter Detection Method Based on pca Network
  • A Median Filter Detection Method Based on pca Network
  • A Median Filter Detection Method Based on pca Network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] This embodiment has set forth the flow process of the specific implementation process of this method, as figure 1 shown.

[0065] From figure 1 It can be seen that the flow of this method is:

[0066] Step ①: Select a picture database;

[0067] It is the BOSSBase database that is specific to what the present embodiment selects;

[0068] Step ②: Mark and cut the pictures to obtain the training set;

[0069] This step is the same as step 1 and step 2. Specifically in this embodiment, the picture is cut into image blocks with a size of 32×32;

[0070] Step ③: Calculate the median filter residual;

[0071] This step is the same as step 3, specific to this example,

[0072] Step ④: set k=1;

[0073] Step ⑤: Determine whether k is greater than M:

[0074] Among them, M represents the total number of image blocks in the training set;

[0075] If yes, skip to step ⑧;

[0076] If not, skip to step ⑥;

[0077] Step ⑥: Extract the image features of the kth image;

[00...

Embodiment 2

[0095] figure 2 As the network model framework of this method, figure 2 It is a specific flow chart of using this model to carry out median filter detection. The algorithm will be described in detail below in conjunction with the accompanying drawings, but the specific implementation form of this method is not limited thereto.

[0096] The specific training process of the model is as follows:

[0097] 1) Select 10,000 images, take out the center position 32×32 image from each image, and record its label as 0;

[0098] 2) The obtained small-size image is subjected to median filter processing, and its label is recorded as 1, and the obtained image and the original image are used as the training set of the model;

[0099] 3) figure 2 "MFR Filter" means to calculate the input median filter residual and output it, specifically according to each input picture I i , calculate and output the median residual according to formula (1);

[0100] 4) Taking the median residual of a ...

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Abstract

The invention is a median filter detection method based on the PCA network, which is the field of information security and digital image information processing technology.Including two parts: model establishment and target detection; the model establishment steps are: 1 select the picture extraction material; 2 to 1 extracted material filtering to be filtered after processing; 3 materials that output 1 and 2 are used as training sets, calculated to calculateMid -value filtering residual; 4 Establish a PCA network; 5 training support vector machines to be trained; the target detection steps are: A will cut the picture to be tested as a small size image;Determine whether the model output is filtered by the medium value, and decide whether to jump to C; C is bid in A in A in the median filtering, jump to B.The invention is simple, the training is short, the artificial setting parameters are small, it can be suitable for a variety of picture sets, and it can even be easily implemented on FPGA, which significantly improves the operation speed.

Description

technical field [0001] The invention relates to a PCA network-based median filter detection method, which belongs to the technical fields of information security and digital image information processing. Background technique [0002] With the rapid development of communication technology and computer technology, people have fully entered the information age. In the information age, people can obtain a large amount of information conveniently and quickly through the Internet or other digital media, but at the same time, some valuable digital information is easy to be tampered with or stolen. For copyright protection and information security considerations, the protection of original information is particularly important. In the field of digital images, the detection methods for judging whether information has been artificially modified can be collectively referred to as forensic analysis. In recent years, due to the increasing demand for copyright and information security, f...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/20G06K9/62
CPCG06T5/20G06T2207/20032G06F18/214G06F18/2411
Inventor 李炳照王贤
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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