Image Hash algorithm based on quaternion matrix singular value decomposition and application thereof

A technology of singular value decomposition and hash algorithm, applied in the field of image processing, it can solve the problem that color images cannot be measured by color, and achieve the effect of good performance and improved processing capacity.

Active Publication Date: 2019-08-23
NANJING UNIV OF POSTS & TELECOMM
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, most image similarity measures need to convert the image into a grayscale image for processing. This method cannot measure color for color 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
  • Image Hash algorithm based on quaternion matrix singular value decomposition and application thereof
  • Image Hash algorithm based on quaternion matrix singular value decomposition and application thereof
  • Image Hash algorithm based on quaternion matrix singular value decomposition and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present invention.

[0038] The embodiment of the present invention provides an image hash algorithm based on singular value decomposition of a quaternion matrix and an image similarity measurement method based on the algorithm, and the method is implemented by MATLAB software.

[0039] In this embodiment, the MALTAB software used in the method of the present invention is MATLABr2017a. Of course, the software selection in this embodiment is not a limitation and fixation of the present invention, and is only used as a preferred embodiment to illustrate the method of the present invention.

[0040] See figure 1 The specific steps of the image hash algorithm based on the singular value decomposition ...

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 an image Hash algorithm based on quaternion matrix singular value decomposition, which comprises the following steps: S1, reading a color image, and zooming the size of the color image; s2, representing the scaled color image by using a quaternion matrix to obtain a complex matrix; s3, equally dividing the complex matrix into (shown in the description) sub-blocks with the same size; s4, calculating the maximum singular value of each sub-block to obtain a numerical matrix with the size (shown in the description); s5, converting the matrix into a 01 matrix; and S6, performing calculating according to the 01 matrix to obtain the hash value of the color image. According to the algorithm, each channel in the image can be regarded as a whole to be processed, so that the correlation among the channels is brought into full play, and the color image processing capability is improved. In addition, the invention further provides an image similarity measurement method basedon the algorithm, the image similarity measurement method can solve the problem of color image similarity measurement, and the color distinguishing effect on color images is achieved.

Description

Technical field [0001] The invention belongs to the technical field of image processing, and specifically relates to an image hash algorithm based on quaternion matrix singular value decomposition. Background technique [0002] Images are one of the important media for humans to obtain information. Color images are more widely used in real life because they contain richer information and human eyes are better at distinguishing color images. At present, the processing of color images is basically a processing method based on grayscale images. Usually, each channel of the color image is processed as an independent component. Because the channels of the color image have a strong correlation, this method will not The information structure of the image has an impact. Therefore, a method is needed to treat each channel in the image as a whole, so as to give full play to the correlation between the channels and improve the color image processing capability. [0003] Quaternion is an im...

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): G06K9/62G06K9/46
CPCG06V10/56G06F18/22
Inventor 闵莉花朱勤川李振华崔强徐海阳
Owner NANJING UNIV OF POSTS & TELECOMM
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