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

An image defogging method suitable for driving recorders

A driving recorder and image technology, applied in the field of image processing, can solve the problems of poor defogging effect and lack of versatility of images in foggy days

Inactive Publication Date: 2019-07-12
FUZHOU UNIV
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above methods have achieved remarkable results in dehazing, but most of the methods are based on prior information such as statistics or assumptions and are not universal, resulting in poor dehazing effect of the algorithm on foggy images in some special cases

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 suitable for driving recorders
  • An image defogging method suitable for driving recorders
  • An image defogging method suitable for driving recorders

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0070] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0071] The invention provides an image defogging method suitable for driving recorders, such as figure 1 As shown, it specifically includes the following steps:

[0072] Step S1: Using the quadtree method to calculate the atmospheric light value of the input foggy image;

[0073] Step S2: Construct and train a Convolutional Neural Network (CNN) model for transmittance prediction, and call this model to estimate the transmittance of the foggy image.

[0074] Step S3: using the guided filtering method to optimize the transmittance map generated in step S2, removing the block effect between image blocks, and obtaining the transmittance optimization map;

[0075] Step S4: Substitute the atmospheric light value obtained in step S1 and the transmittance map obtained in step S3 into the atmospheric scattering model, and reverse solve to obtain...

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 suitable for driving recorders. First, the quadtree method is used to solve the atmospheric light value; then the trained convolutional neural network is used to obtain a rough transmittance map, and the guided filtering method is used to optimize the transmittance map; finally, the restored image is obtained through inverse solution of the atmospheric scattering model. The invention proposes an image dehazing method suitable for driving recorders, which can effectively process gray foggy images and improve the brightness of the processed images. It can effectively restore the color of the image while retaining the edge details of the image. . It can be applied to the defogging process of driving recorders to meet the requirements of video processing and has strong practicality.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image defogging method suitable for driving recorders. Background technique [0002] Dashcams are essentially tools and key providers of evidence of accidents. There is no doubt that the probability of accidents is higher at night and in rainy and foggy weather. For drivers, in any extreme environment, the evidence is required to be as clear and effective as possible. Therefore, whether it can clearly restore the image details in low-light environments at night and in rainy and foggy environments, so as to ensure that high-quality monitoring effects can be output around the clock is a research focus of driving recorders. Embedding algorithms such as intelligent analysis, defogging, and low-light image enhancement in driving recorders will become a trend and have strong user value. [0003] In the real world, fog is a common natural phenomenon. Due to the influence...

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): G06T5/00G06T7/10G07C5/08
CPCG07C5/08G06T2207/20084G06T2207/20024G06T5/73
Inventor 王秀余春艳林晖翔徐小丹叶鑫焱
Owner FUZHOU 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