Self-adaptive image enhancement method and device based on image gray level

An adaptive enhancement and image grayscale technology, applied in the field of image processing, can solve the problems of unsuitable application of classic histogram enhancement technology, loss of image details, overbrightness, etc., and achieve the effect of rich details

Active Publication Date: 2021-03-12
JIANGSU UNIV OF TECH
View PDF13 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the image enhanced by the classic histogram enhancement technology is prone to over-enhancement and over-brightness, and the noise is also significantly amplified, and the image details are seriously lost.
Therefore, the classical histogram enhancement technique is not suitable for electronic external display devices (such as flat panel displays, liquid crystal displays, etc.)

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
  • Self-adaptive image enhancement method and device based on image gray level
  • Self-adaptive image enhancement method and device based on image gray level
  • Self-adaptive image enhancement method and device based on image gray level

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0049] The invention provides a method for adaptive image enhancement based on image gray levels, such as figure 1 As shown, the method includes:

[0050] S1. Obtain the frequency of occurrence of each gray level of the image to be processed, and store the gray levels whose gray levels exceed a preset gray level threshold in a preset array;

[0051] An image in a computer is an 8-bit grayscale image composed of a series of numbers, and the value of each pixel...

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 a self-adaptive image enhancement method and device based on image gray levels, and relates to the technical field of image processing, and the technical scheme comprises the steps: obtaining the occurrence frequency of each gray level of a to-be-processed image, and storing the gray levels, of which the gray levels exceed a preset gray level threshold value, in a preset array; reading the gray values according to the serial numbers of the preset array in sequence, and redefining according to the corresponding relationship between the gray values and the serial numbers to obtain new gray values; and performing adaptive enhancement processing on the to-be-processed image according to the new gray value. According to the scheme, the image can be enhanced in a self-adaptive mode, the image brightness is basically unchanged, details of the excessively dark part of the image can be richer, the excessively bright part of the image can be restrained, and therefore the fidelity effect is achieved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method for adaptive image enhancement based on image gray levels, a device for adaptive image enhancement based on image gray levels, a computer device and a non-temporary computer readable storage medium. Background technique [0002] Image enhancement technology is an image processing method that makes an unclear image clear or emphasizes some interesting features, suppresses uninteresting features, improves image quality, enriches information, and enhances image interpretation and recognition effects. [0003] At present, among the image enhancement techniques, the classic histogram enhancement technique is the most widely used, and its calculation is simple, fast, and the effect is obvious. However, the image enhanced by the classic histogram enhancement technology tends to be over-enhanced and over-brightened, and the noise is also significantly amplified...

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
CPCG06T5/007G06T2207/20004
Inventor 王海峰章怡吴卫华范鑫陈海忠
Owner JIANGSU 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