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

A Blind Separation Method for Permutation-aliased Images

A technology of permutation aliasing and blind separation, which is applied in image analysis, image enhancement, image data processing, etc., can solve problems affecting the accuracy of blind separation and difficult selection of aliased image feature domains, so as to reduce time complexity and overcome Difficult to select, noise reduction effect

Active Publication Date: 2018-08-10
HENAN NORMAL UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art, and propose a method for blind separation of aliased images to solve the problem that the accuracy of blind separation is affected due to the difficulty in selecting the feature domain of aliased images

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
  • A Blind Separation Method for Permutation-aliased Images
  • A Blind Separation Method for Permutation-aliased Images
  • A Blind Separation Method for Permutation-aliased Images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0051]A blind separation method for permutation and aliasing images, the steps are as follows:

[0052] Step (1), constructing a permuted and aliased image I with a size of M×M, and the permuted area of ​​the image contains noise, then the mathematical model expression of the permuted and aliased image I is as follows:

[0053] I=A⊙P+A T1 ⊙P T1 +...+A Tm ⊙P Tm +...+A Tn ⊙P Tn (1)

[0054] Among them, ⊙ represents the Hadamard product; P is the source image of the permuted image; A is a matrix of all 1s; A Ti (i=1,2,...,n) is a permutation matrix; P Ti (i=1,2,...,n) is the source image containing noise.

[0055] In formula (1), A T1 ,A T2 ,...A Tn The specific expression is as follows:

[0056]

[0057] Among them, U T1 ,U T2 ,...U Tn is the activation interval,

[0058] Step (2), block the replacement and aliasing image I ...

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 a blind separation method for a permutation and aliasing image, wherein the permutation region of the constructed permutation and aliasing image contains noise; a noise reduction autoencoder is used to extract features of an image sequence, and then the extracted features are used to reconstruct the permutation and aliasing image, Get the reconstructed image sequence. After the reconstructed image sequence and the image sequence are combined, the thresholding operation is used to separate the replacement area image. The invention overcomes the disadvantage that the feature domain is not easy to select in the prior art, avoids the phenomenon of false detection, and improves the accuracy of the blind separation result of the aliasing image.

Description

technical field [0001] The invention relates to a blind separation method for substituting and aliasing images, and belongs to the field of digital image processing by blind source separation methods. Background technique [0002] Blind source separation (BBS) is a traditional yet extremely challenging problem in signal processing. Blind source separation is to separate different source signals from many mixed signals when neither the source signal nor the mixed model of the observed signal is known, and it is widely used in image tampering detection. Displacement aliasing image is a special kind of single-channel mixed image in tampered image, and a certain part of the image is replaced by a certain part of another image. Different from the traditional superimposed mixed image, the content of the displaced area of ​​the original image in this type of displacement and aliased image will be lost, and the position, size, and number of the replaced area are unknown. [0003] ...

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 Patents(China)
IPC IPC(8): G06K9/62G06T7/00
CPCG06T2207/10004G06F18/2134
Inventor 段新涛袁培燕刘国奇杨育捷赵晓焱李飞飞王婧娟彭涛
Owner HENAN NORMAL 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