Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Low-illumination image enhancement method and system and storable medium

An enhanced system and low-illumination technology, applied in the field of image processing, can solve the problems of poor universality, poor image comfort, high computational complexity, etc., and achieve the effect of improved effect, more image and low time complexity

Pending Publication Date: 2022-03-15
ANHUI UNIVERSITY
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It solves the problem of poor universality, high computational complexity, and poor image comfort in the prior art, thereby improving the quality of low-light images and achieving a visually satisfactory effect. And better preserve the naturalness of the image and do a good job of pre-processing for computer vision applications

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
  • Low-illumination image enhancement method and system and storable medium
  • Low-illumination image enhancement method and system and storable medium
  • Low-illumination image enhancement method and system and storable medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054]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 of the embodiments of the present invention, not all of them. 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.

[0055] On the one hand, see attached figure 1 As shown, the embodiment of the present invention discloses a method for enhancing a low-illuminance image, comprising the following steps:

[0056] S100: Input a low-illuminance image, convert the low-illuminance image from RGB color space to HSV color space, and extract the hue component H, brightness component V, and saturation component S of the HSV color space;

[0057] S200: According to the lum...

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 enhancement method and system of a low-illumination image and a storable medium, and belongs to the technical field of image processing, and the method comprises the steps: firstly inputting the low-illumination image, converting the low-illumination image from an RGB color space to an HSV color space, and extracting a hue component H, a brightness component V and a saturation component S of the HSV color space; according to the brightness component V, adjusting global brightness by using a global adaptive enhancement function to obtain a first enhanced image; according to the brightness component V, using local contrast enhancement to obtain a second enhanced image; the two images are fused; and finally, converting the fused image F from the color space HSV to the RGB color space to obtain an enhanced image. According to the method, the information of the space field is considered, so that the enhanced image is more natural, the color is not distorted, and the effect of the low-illumination image is effectively improved. And compared with other mainstream algorithms, the method has the characteristics of better effect, simple operation, low time complexity and the like.

Description

technical field [0001] The present invention relates to the technical field of image processing, and more specifically relates to a low-illuminance image enhancement method, system and storage medium. Background technique [0002] At present, for the impact of computer vision information acquisition under low light conditions, mainstream algorithms include: histogram-based technology, Retinex-based technology, machine learning-based technology, etc. [0003] However, the technique based on the histogram, the trimming on the histogram, one is the histogram equalization, the other is the histogram specification, the first method is used relatively more. Histogram equalization, histogram equalization is a method of transforming the original image to obtain a new image whose grayscale histogram is evenly distributed. The basic idea of ​​the histogram equalization method is to widen the gray level with a large number of pixels in the image, and to shrink the gray level with a sm...

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): G06T5/50
CPCG06T5/50G06T2207/10024G06T2207/20172
Inventor 李正平郭俊杰徐超
Owner ANHUI UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com