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

Rapid image defogging method based on brightness contrast enhancement and saturation compensation

A technology of brightness contrast and saturation, applied in image enhancement, image data processing, instruments, etc., can solve the problems of pale image, lower image contrast, lower saturation, etc., achieve bright colors, reduce running time, and shorten Effect of Fog Processing Time

Active Publication Date: 2018-08-17
ZHEJIANG GONGSHANG UNIVERSITY +2
View PDF5 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Fog will not only reduce the contrast of the image, but also make the image pale and desaturate due to the occlusion of the light of the object by the fog, making the objects in the image lack of vitality
These problems have brought technical problems to the field of video surveillance, which need to be solved urgently

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
  • Rapid image defogging method based on brightness contrast enhancement and saturation compensation
  • Rapid image defogging method based on brightness contrast enhancement and saturation compensation
  • Rapid image defogging method based on brightness contrast enhancement and saturation compensation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] When the color foggy image defogging technology is implemented, the foggy image is cleared through the fast image defogging method of brightness contrast enhancement and saturation compensation.

[0054] The specific process of realizing the dehazing of the color foggy image is as follows:

[0055] 1) White balance preprocessing based on color cast detection

[0056] Step 1: Convert the foggy color image I from RGB color space to Lab color space [1] , get the brightness channel L, color channels a and b.

[0057] Step 2: Perform color cast detection on the image I based on the color distortion factor.

[0058] The average chromaticity of image I is calculated by the following formula:

[0059]

[0060] Among them: M a and M b denote the mean values ​​of color channels a and b, respectively, and M denotes the average chroma of image I. m a and M b Calculated by the following formula:

[0061]

[0062] Among them: x represents a pixel in image I, N represents...

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 relates to an image defogging method in the computer vision field and especially relates to a rapid image defogging method based on brightness contrast enhancement and saturation compensation. The method comprises the following steps of 1) white balance pretreatment based on color cast detection; 2) contrast enhancement based on a brightness channel; and 3) saturation compensation based on an atmosphere scattering model. In the invention, a white balance correction method based on the color cast detection is adopted so that a problem of color distortion during a defogging processis solved. Transmissivity calculating is performed in an L single channel so that defogging processing time can be effectively shortened and algorithm operation time consuming is greatly reduced. A saturation compensation formula based on the atmosphere scattering model is provided, and the saturation of a recovery result is effectively compensated so that a fog-free image is colorful and vivid.

Description

technical field [0001] The invention relates to an image defogging method in the field of computer vision, in particular to a fast image defogging method based on brightness contrast enhancement and saturation compensation. Background technique [0002] In the foggy environment, there are many dust particles and water droplets in the atmosphere, so the light will be scattered, refracted, absorbed and other reactions during the propagation process. In the image defogging method, it is usually assumed that the fog is a white and transparent substance, but due to the influence of factors such as the camera and the air medium, the captured foggy image will appear color cast. Foggy air contains large numbers of liquid droplets that absorb and scatter light, reducing the visibility and contrast of captured images. Fog will not only reduce the contrast of the image, but also make the image pale and desaturate due to the occlusion of the light of the object by the fog, making the o...

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
CPCG06T5/92G06T5/73G06T5/70
Inventor 曹绪民刘春晓
Owner ZHEJIANG GONGSHANG 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