An image defogging method based on blue channel correction

A channel correction and color channel technology, which is applied in the field of computer vision and image processing, can solve the problems that foggy images cannot obtain corresponding training sample images, the sky area is prone to color shift, and the effect is not very effective, etc., so as to achieve less calculation parameters , no color cast, good effect

Active Publication Date: 2021-04-06
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method is not very effective in the sky area with high brightness, and the sky area is prone to color cast
In addition, in recent years, more and more deep learning-based dehazing algorithms have achieved good results, but they require a large number of images with real reference data for model training, but foggy images generally cannot be trained accordingly Sample images, making the limitations of this type of method relatively large

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
  • An image defogging method based on blue channel correction
  • An image defogging method based on blue channel correction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the accompanying drawings.

[0027] In this embodiment, the foggy image and its corresponding standard fog-free image are downloaded from the currently internationally recognized image library website for verifying the image defogging effect. The image size is 413×550×3, and the image format is png format. The flow process of the specific calculation method of the present invention is as figure 1 shown, including the following steps:

[0028] S1. Extracting image information: decompose the input color image into three color channels of red, green and blue, and obtain the maximum value of the grayscale image as A; take the pixel (200, 200) as an example, the pixel is in red and green The values ​​of the blue three channels are 0.737, 0.682, 0.639 respectively, and the maximu...

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 image defogging method based on blue channel correction, which is applied in the technical field of computer vision and image processing, and aims at the existing histogram equalization algorithm, multi-scale Retinex (MSR) algorithm and dark channel prior defogging method and other algorithms, the problem of poor defogging effect and large algorithm limitations; the present invention firstly extracts the information of the red, green and blue channels, and combines them to obtain the depth and transmittance information, and then converts the image red, The green and blue channels are calculated separately to obtain the defogged image of each channel, and the final combined image is obtained to obtain the final defogged image; it has fewer calculation parameters, simple and fast calculation, good effect, and no color cast, which is very suitable for outdoor fog images Advantages of processing.

Description

technical field [0001] The invention belongs to the technical field of computer vision and image processing, in particular to an image defogging technology. Background technique [0002] Images taken under better natural conditions often have higher contrast and saturation. In foggy weather, natural light is scattered by atmospheric particles, resulting in reduced image contrast, brightness, and saturation. For example, the same lawn will appear green with high saturation when the weather is good (clear and fog-free), but it will appear green with low saturation in foggy weather, and the overall image is gray and the details are blurred. The images obtained in this way will cause great interference during image analysis, so it is extremely important to correct the images obtained under foggy weather. [0003] Representative dehazing algorithms include histogram equalization algorithm, multi-scale Retinex (MSR) algorithm and dark channel prior dehazing algorithm, etc. Amon...

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 Patents(China)
IPC IPC(8): G06T5/00G06T7/50
CPCG06T5/003G06T5/007G06T2207/10004G06T2207/10024G06T2207/10028G06T7/50
Inventor 李永杰赵乾张显石
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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