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

Method for enhancing low-illumination image

An image enhancement and low illumination technology, applied in the field of image processing, can solve problems such as over-enhancement and enhanced color cast

Inactive Publication Date: 2017-09-26
ZHEJIANG UNIV
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to propose an adaptive, easy-to-implement, robust, low-illuminance image enhancement method that is more in line with the visual characteristics of the human eye, thereby solving the problem of over-enhancement or enhanced color cast existing in existing image enhancement methods question

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
  • Method for enhancing low-illumination image
  • Method for enhancing low-illumination image
  • Method for enhancing low-illumination image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The dark channel prior means that in most non-sky local areas, some pixels will always have at least one color channel with a very low value. In other words, the minimum value of light intensity in this area is a very small number. In the dark channel prior model, this area is automatically determined in the algorithm, and a rectangular window of a fixed size is usually selected. Therefore, those skilled in the art generally believe that it is not necessary to enter the step of image segmentation, but due to The original rectangular window does not consider the influence of image content and edge information on the dark channel prior estimation transmittance map, and the size of different rectangular areas will have different effects on the process, making it difficult to achieve self-adaptation.

[0026] A method for enhancing low-illuminance images in the present invention firstly inverts the low-illuminance images to obtain a pseudo-fog image, and considers the image...

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 a method for enhancing a low-illumination image. An entropy rate based superpixel segmentation algorithm is applied to a dark channel prior model, and an enhanced image meeting the visual effect requirement of human eyes better is obtained. The method comprises steps as follows: the low-illumination image is subjected to superpixel segmentation firstly and then is inversed, a more accurate transmission transmittance image is obtained by the dark channel prior model according to a homogenous block area obtained through superpixel segmentation, the image is enhanced according to an atmospheric scattering physical model, finally, the image is inversed again, and an enhanced effect image is obtained. The method can be used for processing the low-illumination image adaptively, so that the enhanced image has more ideal contrast and visual effect, and the overall enhancement effect is substantially improved when compared with that of an existing enhancement algorithm. The automation and self-energy of the whole process can be realized, and manual intervention is not needed.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a low-illuminance image enhancement method. Background technique [0002] With the rapid development of digital image and multimedia technology, there are more and more various types of optical imaging systems, and people have higher and higher requirements for the picture quality of imaging systems, such as various monitoring systems, target recognition and target tracking systems , due to the uncontrollable particularity of the scene, the picture quality is often difficult to meet the requirements, especially for images shot under weak light conditions such as foggy days, rainy days, and nights, the overall image quality is very poor and the contrast is very low , the image details are seriously lost, and the visibility is not satisfactory, which brings a lot of troubles to a lot of work, which greatly limits the application of this type of system. Especially at night, the crim...

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): G06T5/00G06T7/11G06T11/00
CPCG06T7/11G06T11/001G06T2207/10024G06T5/73
Inventor 冯华君王烨茹徐之海李奇陈跃庭
Owner ZHEJIANG UNIV
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