Color image replication tamper detection method based on local quaternion index moment

A quaternion index moment, color image technology, applied in the field of image processing, can solve the problems of high time complexity of the algorithm, unsatisfactory detection of tampered areas, etc.

Inactive Publication Date: 2016-03-23
LIAONING NORMAL UNIVERSITY
View PDF6 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The tamper detection algorithm based on block matching has high detection accuracy for tampered images, but the time complexity of the whole algorithm is very large; the

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
  • Color image replication tamper detection method based on local quaternion index moment
  • Color image replication tamper detection method based on local quaternion index moment
  • Color image replication tamper detection method based on local quaternion index moment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] A kind of color image duplication tampering detection method based on local quaternion exponent moments, according to the following steps:

[0053] Step 1: Use the entropy-based superpixel segmentation algorithm combined with non-subsampling Shearlet transform to perform adaptive superpixel segmentation on the image to be detected after Gaussian smoothing filter preprocessing, as follows:

[0054]Step 11: Read the image to be detected, and use Gaussian smoothing filter for preprocessing to remove noise;

[0055] Step 12: Perform non-downsampled Shearlet transformation on the image obtained after preprocessing in step 11, and adaptively initialize the number of superpixel blocks;

[0056] Step 121: Read the preprocessed image and perform four-level non-subsampling Shearlet transformation, and calculate the proportion of low-frequency energy to the total energy, where represents low-frequency energy, represents high-frequency energy, Indicates the proportion of low-...

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 discloses a color image tamper detection method based on local quaternion index moment through which algorithm time complexity can be greatly reduced and a replication tamper area can be accurately detected. Self-adaptive super-pixel partitioning is performed on an image to be detected after Gaussian smoothing filtering preprocessing by utilizing a super-pixel segmentation algorithm based on entropy rate with combination of non-subsample Shearlet transform; the quaternion index moment is utilized to express Sifer feature point local area features and similar block matching is performed on all the Sifer feature point local area features of each super-pixel block; a suspected tamper area is determined by utilizing the matching feature points in the similar blocks obtained in the step 2; and the replication tamper area is marked by utilizing morphological filtering operation.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to a color image duplication tampering detection method based on local quaternion exponent moments, which can greatly reduce algorithm time complexity and accurately detect tampered areas. Background technique [0002] Image area copy tampering is a typical and effective image forgery method, which is to copy a certain area in the image and paste it to a disjoint area of ​​the same image, so as to achieve the purpose of eliminating or hiding an object or a certain area of ​​the image . Usually, when performing region copy tampering on an image, post-processing operations, such as Gaussian noise, Gaussian blur, and double JPEG compression, are artificially added to the tampered area, making it difficult for the human eye to detect, and most tampered images are also mixed with tampered images. The region implements geometric attack operations such as rotation and scaling, which change...

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): G06T7/40
CPCG06T2207/20021
Inventor 王向阳刘宇男牛盼盼
Owner LIAONING NORMAL UNIVERSITY
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