Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Image mosaic blinding method based on wavelet domain

An image stitching and wavelet domain technology, applied in the field of image processing, can solve the problems of long time-consuming feature extraction and insufficient detection accuracy, and achieve the effect of improving efficiency, improving accuracy and reducing complexity.

Active Publication Date: 2010-02-24
SHANGHAI JIAO TONG UNIV
View PDF0 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method has a wide range of applications for splicing tampering, but the feature extraction takes a long time, and the detection accuracy is not good enough, only 71.5%

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
  • Image mosaic blinding method based on wavelet domain
  • Image mosaic blinding method based on wavelet domain
  • Image mosaic blinding method based on wavelet domain

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] Below in conjunction with accompanying drawing, the embodiment of the present invention is described in detail: present embodiment is implemented under Columbia University's photo bank widely used in the world, has provided detailed implementation mode and concrete operation process, but protection scope of the present invention does not Limited to the following examples.

[0026] The Columbia University photo library includes 933 real images and 912 stitched and doctored images, available at http: / / www.ee.columbia.edu / ln / dvmm / downloads / AuthSplicedDataSet / dlform.html. Based on the analysis of the statistical characteristics of image wavelet high-frequency subband coefficients, after the image is spliced ​​and tampered, its statistical characteristics change. After feature extraction, it can be classified by SVM classifier to quickly judge its authenticity. The specific process is:

[0027] Step 1: Randomly select 770 real and falsified pictures to form a training set, ...

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 relates to an image mosaic blinding method based on a wavelet domain in the technical field of image processing. In the invention, an image wavelet high-frequency sub-band coefficient isfit by generalized Gaussian distribution, an estimated fitting generalized Gaussian distribution density function is used as a probability density function of the actual high-frequency sub-band coefficient, therefore, statistic characteristics are extracted by using the difference of the generalized distribution and the actual distribution of the high-frequency sub-band coefficient. When splicingis tampered, since the statistic characteristics are changed, the invention can judge the authenticity of an image by using the characteristics. The invention can solve the problems of low precisionof high-order statistic characteristics and long operation time, thereby greatly improving the efficiency and the practicability of the splicing tampering blind detection. The invention can be used for detecting an actual splice image, tests prove that the method has strong real-time, can obtain good effect, and lays a better basis for further developing the field.

Description

technical field [0001] The invention relates to a detection method in the technical field of image processing, in particular to a blind detection method for image splicing based on wavelet domain. Background technique [0002] Based on the easy tampering of digital images, especially the splicing and tampering of "removing flowers and trees" is very common, making the authenticity identification of digital images very important in the fields of judicial detection and news reports. For this kind of tampering, there are two ways of active authentication and passive authentication. Active identification is mainly to add digital watermarks in digital images, but most of the current cameras do not have this function, so the practicability is relatively small. Passive identification, that is, blind detection without any prior information, has great development potential, but it is difficult to identify, so the development is relatively slow. Currently, there are two main researc...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/00
Inventor 马进张爱新李建华李生红金波朱彤李哲
Owner SHANGHAI JIAO TONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com