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

Foggy day image enhancement method based on improved Retinex algorithm

An image enhancement and algorithm technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of high noise, loss of details, color distortion, etc., achieve good application prospects, good robustness and stability, and avoid halo effect

Pending Publication Date: 2020-11-10
NANJING UNIV OF TECH
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These algorithms have certain effects on image defogging and enhancement, but there are also shortcomings and deficiencies such as color distortion, excessive noise, and serious loss of details.

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
  • Foggy day image enhancement method based on improved Retinex algorithm
  • Foggy day image enhancement method based on improved Retinex algorithm
  • Foggy day image enhancement method based on improved Retinex algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0051] The flowchart of concrete realization of the present invention, as figure 1 shown;

[0052] A foggy image enhancement method based on the improved Retinex algorithm is realized by using a unique bilateral filter algorithm in the HSI image domain to extract the illuminated image, and combining the Laplacian algorithm to enhance the image. The specific steps are as follows:

[0053]a. Convert the original image from the RGB color space to the HSI color space: By converting the RGB image and the HSI image according to the conversion formula, the values ​​​​of the image in the HSI color space H, S, and I can be obtained. HSI is a way to reflect the color perception of the visual system The color model, H defines the wavelength of the color, known as the hue; S represents the depth of the color, known as the saturation; I represent...

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 foggy day image enhancement method based on an improved Retinex algorithm, which is realized by adopting a unique bilateral filtering algorithm to extract an irradiation imagein an HSI image domain and combining a Laplace algorithm to enhance the image. The method has the advantages that compared with a traditional bilateral filtering algorithm, pixel operation is not limited in a local area any more, and due to the fact that two similar pixel points in one image are not necessarily located in the same neighborhood, an image searches similar pixels in a relatively larger area through a non-local algorithm; the defects of detail contrast, color fidelity and the like of a traditional method are overcome, the reality of image colors is guaranteed to the maximum extent while the definition is improved, a good effect is achieved for blurred image enhancement under interference of foggy days, and the method has a good application prospect in the aspects of intelligent transportation, environment monitoring and the like.

Description

technical field [0001] The invention relates to the field of computer technology and the field of image defogging, in particular to a foggy image enhancement method based on non-local bilateral filtering and Retinex algorithm. Background technique [0002] With the popularization of intelligence, the requirements for video or image quality in many fields are increasing, and a high-quality and clear image is inseparable from intelligent transportation, smart home, and environmental protection. However, due to weather interference, the images captured by the surveillance camera are often blurred, especially in the foggy weather. difficulty. In recent years, using image enhancement technology to process images has become the mainstream method, mainly including grayscale transformation, histogram correction, Retinex algorithm, and frequency domain filtering. These methods achieve the purpose of image enhancement by highlighting image boundaries and increasing contrast in spati...

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): G06T5/00G06T5/20
CPCG06T5/20G06T2207/10024G06T2207/20028G06T5/94G06T5/73
Inventor 宫宁生蒋贵祥张绍旺
Owner NANJING UNIV OF TECH
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