Improved image enhancement method

An image enhancement and image technology, applied in image enhancement, image data processing, genetic law, etc., can solve problems such as different effects, narrow application, and unilateral improvement.

Active Publication Date: 2017-12-22
XUZHOU UNIV OF TECH
View PDF1 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Based on the principle of artificial immunity, some researchers adopted a new fitness function for image quality evaluation, including five elements of variance, information entropy, compactness, signal-to-noise change, and pixel difference. Some effects have been achieved, but what they have

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
  • Improved image enhancement method
  • Improved image enhancement method
  • Improved image enhancement method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0069] The present invention will be further described below in conjunction with the accompanying drawings.

[0070] The technical scheme adopted in the present invention is: a kind of improved image enhancement method based on adaptive immune genetic algorithm comprises:

[0071] S1. Assume that the grayscale of the original image pixel is f(x,y), and then perform normalization processing to obtain n(x,y); where the improved normalization processing method is adopted:

[0072]

[0073] where L min and L max They are the minimum and maximum values ​​of the gray value of the original image, obviously n(x,y)∈[0,1]; the improved normalization processing is used to make the details of the image more obvious, and do a good job for image enhancement sufficient prerequisites.

[0074] S2. According to the AIGA antibody coding and population initialization method, initialize the parameters of the algorithm, and the two parameters to be optimized Encode, randomly generate a gro...

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 present invention provides an improved image enhancement method. The method comprises: S1, performing normalization processing of image pixel gray level f(x, y) to obtain n(x, y), wherein an improved normalization processing mode is employed: (img file='dest_path_image001. TIF' wi='255' he='183'/); S2, performing coding of parameters to be optimized (img file='dest_path_image002. TIF' wi='37' he='71'/), randomly generating one group of initial individuals to form an initial population, and inputting a control parameter crossover probability pc, a mutation probability pm, a population size N, the maximum operation algebra G and the like; S3, determining whether an evolution algebra t is equal to the G or not, if the evolution algebra t is equal to the G, finishing the algorithm, and outputting the optimal solution of the (img file='dest_path_image003. TIF' wi='37' he='88'/), or else, turning to the next step; S4, employing a roulette strategy to select M individuals, and performing crossover and mutation operation of the individuals according to the crossover and mutation method in the genetic manipulation; S5, selecting two vaccines, individual number to be inoculated and the inoculation site number to perform immunization operation, making out immunization selection after inoculation, and employing the optimal individual reservation strategy of the population after the inoculation; and S6, allowing one group (img file='dest_path_image004. TIF' wi='37' he='71'/) to correspond to one non-linear transformation function F(u), and employing a non-linear transformation function to perform image gray scale transformation to obtain an output image g (x, y).

Description

technical field [0001] The invention relates to the technical field of image enhancement, in particular to an improved image enhancement method. Background technique [0002] The purpose of image enhancement is to: ① use a series of technologies to improve the visual effect of the image and improve the clarity of the image; ② convert the image into a form that is more suitable for human or machine analysis and processing. Image enhancement includes gray scale and contrast processing, noise removal, edge protrusion and sharpening, filtering, interpolation and amplification, and false color processing, etc. Currently commonly used enhancement techniques can be divided into spatial domain image enhancement method and frequency domain image enhancement method. The former directly processes the image pixels, while the latter performs Fourier transform on the image before processing. Spatial domain enhancement methods include grayscale transformation, histogram transformation, i...

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): G06T5/00G06N3/00G06N3/12
CPCG06N3/006G06N3/126G06T5/001Y02A90/10
Inventor 姜代红黄忠东戴磊孙天凯
Owner XUZHOU UNIV OF 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

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