Image defogging method for automobile data recorder

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

Inactive Publication Date: 2017-04-26
FUZHOU UNIV
View PDF6 Cites 20 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
  • Image defogging method for automobile data recorder
  • Image defogging method for automobile data recorder
  • Image defogging method for automobile data recorder

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0070] The technical solution of the present invention will be described in detail below in conjunction with the 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: Use 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 the model to estimate the transmittance of the foggy image.

[0074] Step S3: Use the guided filtering method to optimize the transmittance map generated in step S2, remove the blocking effect between image blocks, and obtain an optimized transmittance map;

[0075] Step S4: Substituting the atmospheric light value obtained in step S1 and the transmittance map obtained in step S3 into the atmospheric scattering model, and solving inversely to obtain a dehazing image.

[0076] In thi...

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 for an automobile data recorder. With a quadtree method, an atmospheric light value is obtained by calculation; a rough transmissivity map is obtained by using a trained convolution neural network and the transmissivity map is optimized by using a guidance filtering method; and then inverse solution is carried out by using an atmospheric scattering model to obtain a restored image. According to the image defogging method, a gray foggy image can be processed effectively and the image brightness after processing can be improved, so that the image edge details can be kept and the image color can be restored. The image defogging method can be applied to defogging processing of an automobile data recorder; the video processing requirement can be met; and practicability is high.

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] Driving recorder is essentially a tool and a key provider of accident evidence. There is no doubt that accidents are more likely to occur 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 is possible to clearly restore the image details in low-light environments at night and in rain and fog, so as to ensure that high-quality monitoring effects can be output all-weather is a research focus of the driving recorder. Implanting algorithms such as intelligent analysis, defogging, and low-light image enhancement in the driving recorder will become a trend and has strong user value. [0003] In the real world, fog is a common natural phenomenon. Due to the influence of the fo...

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): G06T5/00G06T7/10G07C5/08
CPCG06T5/003G06T2207/20024G06T2207/20084G07C5/08
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 Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products