An image enhancement method in a dark light environment

A technology for image enhancement and dark light environment, applied in the field of image processing, can solve problems such as uneven light distribution, achieve clear outline, solve uneven light distribution, and high color saturation

Inactive Publication Date: 2019-04-26
HARBIN UNIV OF SCI & TECH
View PDF3 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention overcomes the deficiencies of the above-mentioned prior art, and provides an image enhancement method in a dark-light environment, which converts the RGB color space of a dark-light color image into an HSV space, and performs global luminance logarithmic transformation on the dark-light image; The neuron perceives the wild three-Gaussian model to adjust the contrast of the local edge of the image; finally, according to the top-hat transformation and bottom-hat transformation in the morphology, the background extraction and noise reduction of the auxiliary illumination are carried out; the present invention can not only perform well The enhanced details of the dark color image can solve the problem of uneven light distribution, improve the overall contrast of the image, make the image detail outline clear, and the color saturation high

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
  • An image enhancement method in a dark light environment
  • An image enhancement method in a dark light environment
  • An image enhancement method in a dark light environment

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0032] An image enhancement method in dark light environment, such as figure 1 shown, including the following steps:

[0033] Step a, extracting the brightness component V in the HSV in the dark-light image, and performing logarithmic transformation of the global brightness on the brightness component, which is used to satisfy the subjective perception of human visual characteristics, and improve the overall brightness of the low-illuminance area in the dark-light image;

[0034] Step b, using the three-Gaussian model of the receptive field of retinal neurons as the basis, and performing bilateral filtering under the model to obtain the neighborhood average brightness of the pixel point in the current dark light image;

[0035] Step c. According to the relationship between the brightness value of the point in the current image and the average brightness of its neighborhood, the overall brightness enhancement in step a is realized through the nonlinear characteristic of the log...

specific Embodiment approach 2

[0073] Some researchers have carefully analyzed the biological characteristics of the human visual system, applied it to the field of image enhancement, and proposed an enhancement method based on Retinex theory, which can enhance images in high dynamic ranges, and has attracted much attention in recent years. . However, most Retinex methods can obtain better visual effects of image enhancement, but still generally need to process the three components of RGB in the image separately, which will easily lead to color distortion of the image, and due to the simultaneous completion of local contrast enhancement and dynamic Range compression makes the enhancement process of the entire image difficult to control. Through in-depth research on the bionic color image enhancement method, it is found that the image enhancement method has a good visual enhancement effect, but because of its poor processing effect on some boundaries in the image, the overall contrast is not high, and the ou...

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 in a dark light environment and belongs to the field of image processing. The problems of distorted representation result, blurred image contour andlow color saturation after enhancement seriously exist can be solved; The method comprises the following steps: extracting a brightness component V in an HSV in a dark light image, carrying out logarithmic transformation of global brightness, and carrying out overall brightness improvement on a low-illumination area in the dark light image; Obtaining neighborhood average brightness of pixel points in the current dark light image by using bilateral filtering under a receptive field three-Gaussian model of the retinal neurons; A function of extracting a local bright part from an image background is realized by utilizing top and bottom cap transformation processing, and then light and shade extraction and noise reduction are carried out on the image by utilizing top and bottom cap transformation; According to the method, the enhanced details of the dark-light color image can be well represented, the problem of non-uniform illumination distribution is solved, the overall contrast of the image is improved, the detail contour of the image is clear, and the color saturation is high.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to an image enhancement method in a dark light environment. Background technique [0002] As we all know, image enhancement technology in image processing has always played a pivotal role in the field of image research. In recent years, with the development of image enhancement technology, researchers have proposed many effective image enhancement methods, such as wavelet transform method, which has achieved significant enhancement. However, these enhancement methods simply introduce mathematical methods into the field of image enhancement, without taking into account the characteristics of human visual perception, and there are serious problems such as distortion of the performance results after enhancement, blurred image outlines, and low color saturation. Contents of the invention [0003] The present invention overcomes the deficiencies of the above-mentioned prior ...

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): G06T5/00G06T5/30
CPCG06T5/002G06T5/007G06T5/30G06T2207/20028G06T2207/20036
Inventor 于天河李昱祚
Owner HARBIN 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

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