Image processing method and image processing device

An image processing and image technology, applied in the field of image processing, can solve problems such as glare, achieve the effect of uniform background, reduce the incidence of traffic accidents, and improve quality

Active Publication Date: 2013-09-18
CHERY AUTOMOBILE CO LTD
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problem of glare caused by vehicle glare interference in the prior art, an embodiment of the present invention provides an image processing method and device

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 processing method and image processing device
  • Image processing method and image processing device
  • Image processing method and image processing device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] An embodiment of the present invention provides an image processing method, see figure 1 , the method includes:

[0043] Step 101: Acquire an original image f, and perform median filtering and denoising processing on the original image f.

[0044] It is worth noting that the above original image f is a grayscale image; when processing a color image, it is necessary to first convert the color image into a grayscale image, and then use the method provided in this embodiment for processing.

[0045] Step 102: Using multiple circular structural elements with different sizes, respectively perform an opening operation on the original image f after the median filtering process, to obtain multiple first illumination estimation images of different scales.

[0046] Specifically, open the operation: g i =fοs i ,i=1,2,...n. Among them, s i is a circular structural element, g i Estimate the image for the first illumination.

[0047] Step 103: Perform weighted average on multi...

Embodiment 2

[0053] An embodiment of the present invention provides an image processing method, see figure 2 , the method includes:

[0054] Step 201: Acquire an original image f, and perform n×n median filtering and denoising processing on the original image f. Wherein, performing n×n median filtering and denoising processing on the original image f refers to setting the gray value of each pixel in the original image f to be the gray value of all pixels in the n×n neighborhood of the point Median.

[0055] Among them, n can be an odd number such as 3, 5, 7, etc., such as performing 3×3 median filtering and denoising processing on f.

[0056]Because the overall illumination in the night vision environment is poor, there is obvious noise in the original image, so the original image is denoised by median filtering first.

[0057] It is worth noting that the above original image f is a grayscale image; when processing a color image, it is necessary to first convert the color image into a ...

Embodiment 3

[0079] An embodiment of the present invention provides an image processing device, see image 3 , the device consists of:

[0080] The median filtering module 301 is configured to acquire an original image f, and perform median filtering and denoising processing on the original image f.

[0081] It is worth noting that the above original image f is a grayscale image; when processing a color image, it is necessary to first convert the color image into a grayscale image, and then use the device provided in this embodiment for processing.

[0082] The opening operation module 302 is configured to use a plurality of circular structural elements of different sizes to respectively perform an opening operation on the original image f after the median filtering process, so as to obtain a plurality of first illumination estimation images of different scales.

[0083] Specifically, open the operation: g i =fοs i ,i=1,2,...n. Among them, s i is a circular structural element, g i Es...

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 processing method and an image processing device and belongs to the field of image processing. The image processing method includes: acquiring an original image and subjecting the same to median filtering and noise reduction processing; adopting multiple round structure elements different in size to perform open operation on the original image processed by median filtering so as to obtain multiple first illumination estimation images different is size; subjecting the multiple first illumination estimation images to weighted average so as to obtain a second illumination estimation image; subtracting the second illumination estimation image from the original image to obtain a low-illumination-level image; determining a mean value of the original image, and adding the low-illumination-level image and the mean value to obtain a light-compensated image. By the technical scheme, an image background is enabled to be even, glare and hard light are effectively restrained, an image contrast ratio is improved, a target portion in the image is highlighted, and image quality is improved.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to an image processing method and device. Background technique [0002] At night, due to factors such as low visibility and the decline of people's visual perception ability, traffic accidents are extremely prone to occur. According to statistics, 42% of traffic accidents occur at night. In order to reduce the occurrence of traffic accidents, cars are usually equipped with a night vision system based on visual sensors. The night vision system can display the scene within the range of 100m to 200m in front of the car in real time at night, so that the driver can grasp the road conditions ahead in real time and respond , thereby improving driving safety. [0003] The currently used night vision system has always had a problem that is difficult to solve. When the vehicle meets the car, the headlights of the incoming vehicle will emit strong light, which will cause glare to the ...

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
Inventor 孙锐王继贞陈军
Owner CHERY AUTOMOBILE CO LTD
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