Colorization image detection method based on color statistical differences

A technology of difference and image, applied in the field of image processing, can solve the problems of time-consuming and labor-intensive, inability to detect generative forged images universally and efficiently

Inactive Publication Date: 2017-08-29
INST OF INFORMATION ENG CAS
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is currently no detection technology for dyed and forged images. It is too time-consuming and labor-intensive to use a special person to detect with the naked eye, and it is not suitable for a large amount of data. Traditional passive detection methods usually rely on different char

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Colorization image detection method based on color statistical differences
  • Colorization image detection method based on color statistical differences
  • Colorization image detection method based on color statistical differences

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] In order to make the above-mentioned features and advantages of the present invention more comprehensible, the following specific embodiments are described in detail in conjunction with the accompanying drawings.

[0028] The invention provides a coloring and forgery image detection method based on color statistical difference, the method steps include a training stage and a detection stage, such as figure 1 As shown, the training phase includes the following steps:

[0029] 1) Divide the training image set (including dyed forged images and their corresponding natural images) into dyed forged image subsets and natural image subsets, and construct statistical distribution maps of multiple color channels of the two subsets and training images Concentrate the statistical distribution diagrams of multiple color channels of all training images; wherein the statistical distribution diagrams include hue channel statistical distribution diagrams, saturation channel statistical ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a colorization image detection method based on color statistical differences. The method comprises steps of firstly, constructing the statistical distribution map of the training image set and the statistical distribution map of all the training images in the training image set; calculating the detection characteristic parameter based on the statistical distribution map of the training image set according to the difference maximization principle, calculating the statistical distribution map of each training image based on the detection characteristic parameter, and calculating the distribution characteristic of the statistical distribution map of each training image to construct the effective complete detection characteristics of the training images; and finally, using the complete detection characteristics of the training images and the corresponding training image tags to train the classifier to obtain an effective detection classifier. Therefore, the complete detection characteristic can be extracted for the image to be detected, so that the trained detection classifier can be used for detection.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a dyeing and forgery image detection method based on color statistical difference. Background technique [0002] With the rapid development of multimedia technology, the birth of a large number of image modification tools makes it easier to modify / forge images. Therefore, many image forgery incidents have occurred in recent years. According to the collection of international image counterfeiting expert HaniFarid and his team, forged images exist in many news events such as political scandals and weapons and equipment propaganda. At the same time, forged images may also exist in case evidence and even a large number of personal photos on the Internet. It can be seen that forged images have had a serious negative impact on the credibility of news, the handling of cases by public prosecutors, and even the trust between people. [0003] At present, there are mai...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/46G06K9/62
CPCG06V10/56G06F18/2411G06F18/214
Inventor 郭园方操晓春张炜王蕊
Owner INST OF INFORMATION ENG CAS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap