Enhancement method for low-illumination image

A low-illumination, image technology, applied in the field of image processing, can solve problems such as non-compliance with human visual characteristics and color loss

Inactive Publication Date: 2016-06-08
GUANGDONG XUNTONG TECH
View PDF2 Cites 45 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current enhancement method for low-light images is mainly to directly enhance the image in the RGB color space, such as the MSRCR algorithm. This processing method is prone to color loss and does not conform to the visual characteristics of the human eye.

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
  • Enhancement method for low-illumination image
  • Enhancement method for low-illumination image
  • Enhancement method for low-illumination image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0073] refer to figure 1 , the invention provides a method for enhancing low-illuminance images, comprising:

[0074] S1. After obtaining the low-illuminance image to be processed, convert it from the RGB color space to the HSV color space to obtain the chroma component, saturation component and brightness component;

[0075] S2. Based on the Retinex algorithm, the brightness component is decomposed into a reflection component and an illumination component by using an alternating minimization method;

[0076] S3. After enhancing the illumination component and the reflection component respectively, synthesizing the enhanced brightness component;

[0077] S4, performing adaptive adjustment processing on the saturation component to obtain an enhanced saturation component;

[0078] S5. Combining the chroma component, the enhanced luminance component and the enhanced saturation component into a new HSV image;

[0079] S6. Convert the obtained new HSV image into an RGB image, and...

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 for a low-illumination image. The enhancement method comprises the steps that the low-illumination image to be processed is acquired and then the low-illumination image to be processed is transferred to an HSV color space from an RGB color space, and a chroma component, a saturation component and a brightness component are acquired; the brightness component is decomposed into a reflection component and an irradiation component by adopting an alternating minimization method based on a Retinex algorithm; the irradiation component and the reflection component are respectively enhanced and then synthesized into an enhanced brightness component; the saturation component is self-adaptively adjusted and then an enhanced saturation component is obtained; the chroma component, the enhanced brightness component and the enhanced saturation component are synthesized into a new HSV image; and the obtained new HSV image is converted into an RGB image, and an enhanced image is obtained through white balance processing. Definition of the low-illumination image can be greatly enhanced, and details are enabled to be reproduced so that the method is high in applicability and high in robustness and can be widely applied to the field of image processing.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method for enhancing low-illuminance images. Background technique [0002] Glossary: [0003] Retinex algorithm: Retinex is the abbreviation of "Retina" (retina) and "Cortex" (cerebral cortex). The Retine algorithm is an image enhancement algorithm based on the human visual system based on scientific experiments and scientific analysis. It can achieve a balance in dynamic range compression, edge enhancement and color constancy, and adapt to various types of images. sexual enhancement; [0004] RGB: Including red component R, green component G, blue component B three components. [0005] HSV: includes three components of chroma component H, saturation component S, and brightness component V. [0006] Under low illumination conditions such as indoors and at night, computer vision monitoring equipment has insufficient illumination of unnatural light sources, so the reflected li...

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
CPCG06T5/001G06T5/002G06T2207/10016G06T2207/10024G06T2207/20172
Inventor 李明刘峰干宗良吕月圆陈色桃
Owner GUANGDONG XUNTONG 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