Image enhancement method using Gaussian inverse harmony search

An image enhancement and harmony technology, applied in the field of image enhancement applying Gaussian reverse harmony search, can solve the problems of slow convergence speed and poor image enhancement effect, and achieve the effect of improving the effect and speeding up the speed.

Active Publication Date: 2017-10-20
JIANGXI UNIV OF SCI & TECH
View PDF3 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide an image enhancement method using Gaussian inverse harmony search, which can overcome the disadvantages of slow convergence speed and poor image enhancement effect of traditional harmony search to a certain extent when enhancing some complex images , the present invention can accelerate the speed of image enhancement to a certain extent and improve the effect of image enhancement

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 enhancement method using Gaussian inverse harmony search
  • Image enhancement method using Gaussian inverse harmony search
  • Image enhancement method using Gaussian inverse harmony search

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0054] Step 1, input a picture such as figure 1 The digital image IMG shown;

[0055] Step 2, the user sets the size of the harmony library HMS=20, the selection probability HMCR=0.95, the disturbance probability PAR=0.6, and the maximum evaluation times MAX_FEs=80;

[0056] Step 3, let the number of optimization parameters D=2, and then set the lower bound Lx of the D optimization parameters j and upper bound Ux j , where the dimension subscript j=1,2;

[0057] Step 4, let the current evolution algebra t=0, the current evaluation times FEs=0;

[0058] Step 5, randomly generate the initial harmony library where individual subscripts i=1,2,...,HMS; and for population P t The i-th individual in ; individual The α and β parameters of the incomplete Beta function are stored;

[0059] Step 6, calculate the harmony library P t The fitness value of each individual in ;

[0060] Step 7, make the current evaluation times FEs=FEs+HMS;

[0061] Step 8, save the harmony librar...

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 an image enhancement method using Gaussian inverse harmony search. In the invention, a Gaussian inverse harmony search algorithm is used to optimize [alpha] and [belta] parameters of an incomplete Beta function, and the optimized incomplete Beta function is used to non-linearly transform an image to enhance the image quality. In the Gaussian inverse harmony search, mean information of a harmony library is fused into a Gaussian mutation operator and the reverse learning operation is performed with a certain probability to speed up the convergence of the algorithm to improve the effect of image enhancement. The image enhancement method of the invention can speed up the image enhancement to a certain extent and improve the effect of image enhancement.

Description

technical field [0001] The invention relates to the field of image enhancement, in particular to an image enhancement method using Gaussian reverse harmony search. Background technique [0002] Due to factors such as lighting or image sensor hardware limitations, digital images collected by digital image processing systems often have problems such as insufficient contrast and overexposure, so image enhancement technology is widely used in digital image processing systems. In order to enhance the image quality, people often use incomplete Beta function to transform the image nonlinearly, but the objective function of image enhancement is often discontinuous and non-differentiable, and it is difficult for traditional optimization algorithms to effectively optimize the objective function of image enhancement. Therefore, how to select the appropriate α and β parameters for the incomplete Beta function has always been a difficult problem in image enhancement technology. In order...

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): G06T5/00G06T5/20
CPCG06T5/00G06T5/20
Inventor 郭肇禄王洋章银娥李大海巫光福鄢化彪余法红
Owner JIANGXI UNIV OF SCI & TECH
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