Grayscale image adaptive enhancement method for singular value decomposition and beetle antennae search algorithm

A singular value decomposition and adaptive enhancement technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of low contrast and inconspicuous vision of the original image

Active Publication Date: 2018-08-24
ZHEJIANG UNIV
View PDF6 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the technical problem of self-adaptive enhancement that is not visually obvious due to the low contrast of the original image, the present invention proposes a gray-scale image adaptive enhancement method based on singular value decomposition and beetle-beetle optimization algorithm, which can realize image adaptive enhancement the goal of

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
  • Grayscale image adaptive enhancement method for singular value decomposition and beetle antennae search algorithm
  • Grayscale image adaptive enhancement method for singular value decomposition and beetle antennae search algorithm
  • Grayscale image adaptive enhancement method for singular value decomposition and beetle antennae search algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] In order to more clearly illustrate the method of the present invention and the method of the prior art, the drawings that need to be used in the method will be briefly introduced below, and the drawings in the following description are some embodiments of the present invention.

[0062] Such as figure 1 Shown, embodiment of the present invention and its implementation process are as follows:

[0063] S1, the original image that will be input, such as figure 2 As shown, the global histogram equalization is used for processing to obtain a histogram equalized image, such as image 3 shown;

[0064] S2, the histogram equalization image and the original image are all subjected to a discrete wavelet transform, and four wavelet subbands LL, LH, HL, HH are obtained respectively (such as Figure 4 ) and LL', LH', HL', HH' (such as Figure 5 );

[0065] S3. Use the beetle's whisker optimization algorithm for the four wavelet subbands LL, LH, HL, and HH of the balanced imag...

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 grayscale image adaptive enhancement method for singular value decomposition and beetle antennae search algorithm. The method comprises subjecting an input original image todiscrete wavelet decomposition in order to convert the original image into the frequency domain; applying the beetle antennae search algorithm to decomposed wavelet sub band to solve the optimal adjustment parameter of a soft threshold function, and using the soft threshold function of the corresponding optimal adjustment parameter for threshold processing to enhance the contour; performing singular value decomposition on the low-frequency sub band, correcting the wavelet coefficients in the low-frequency sub band to realize the transformation of the luminance; and finally, performing inversewavelet transform on each processed wavelet sub band to achieve the image adaptive enhancement.

Description

technical field [0001] The invention relates to an image processing algorithm in the technical field of digital image processing, in particular to a grayscale image self-adaptive enhancement method of singular value decomposition and longhorn beetle optimization algorithm. Background technique [0002] Image enhancement mainly refers to increasing the brightness of the image, increasing the contrast, and enriching the details of the image to make the image more pleasant to the user or more conducive to extracting useful information from the image, for subsequent image recognition, video tracking, etc. Applications are offered in excellent condition. With the popularity of smart phones and "Skynet" and the widespread use of machine vision industrial industrial robots, the application of image enhancement has become more and more extensive, and it has become an important research problem. [0003] In the field of image enhancement, commonly used image enhancement methods incl...

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): G06T5/00
CPCG06T5/003G06T2207/20064
Inventor 何再兴杨广赵昕玥张树有谭建荣
Owner ZHEJIANG UNIV
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