Check patentability & draft patents in minutes with Patsnap Eureka AI!

Processing method, device and system based on single-image defogging

A single image and processing method technology, applied in the field of image processing, can solve the problems of consumption, poor processing effect, excessive computing time and storage space, etc., to achieve accurate calculation results, improve accuracy, and reduce the amount of calculation.

Inactive Publication Date: 2013-05-01
ANKE SMART CITY TECH PRC +1
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the embodiments of the present invention is to provide a processing method based on single image defogging, which aims to solve the problem that the existing dark channel priority method has a poor processing effect on the gray area in the image when the single image is defogged. Moreover, the whole processing process needs to consume more computing time and storage space.

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
  • Processing method, device and system based on single-image defogging
  • Processing method, device and system based on single-image defogging
  • Processing method, device and system based on single-image defogging

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] figure 1 It shows the implementation flow of the method for dehazing based on a single image provided by Embodiment 1 of the present invention, and the process of the method is described in detail as follows:

[0044] In step S101 , divide the fogged image into dark pixel areas and dark pixel failure areas, and acquire information about the dark pixel failure areas.

[0045] In this embodiment, the information includes, but is not limited to, the number and distribution positions of the dark pixel failure regions. The dark pixel failure area includes gray areas such as white buildings, water surface, sky, etc. Since the pixel values ​​in these areas are relatively large, it is difficult to find dark pixel points whose pixel values ​​are close to 0. Therefore, in the case of dark pixel failure areas, if the dark pixels of the fogged image are directly calculated, the transmittance of the fogged image will be underestimated, which will affect the defogging effect of the ...

Embodiment 2

[0106] Figure 4 It is the composition structure of the single-image-based defogging processing device provided by the second embodiment of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are shown.

[0107] The device for defogging processing based on a single image may be a software unit, a hardware unit or a combination of software and hardware running in each application system.

[0108] The single image-based dehazing processing device includes a first information acquisition unit 41, a first calculation unit 42, an estimation unit 43, a second information acquisition unit 44, a second calculation unit 45, a third information acquisition unit 46, a third calculation unit unit 47 , a fourth calculation unit 48 and a dehazing image acquisition unit 49 . Among them, the specific functions of each unit are as follows:

[0109] The first information acquisition unit 41 is used to divide the fogged ima...

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 belongs to the technical field of image processing and particularly relates to a processing method, device and system based on single-image defogging. The method comprises the following steps of: dividing a fogged image into dark pixel regions and dark pixel expiration regions, and acquiring information of the dark pixel expiration regions; calculating dark pixels in the dark pixel regions; estimating an atmosphere light value of the fogged image according to the number of the dark pixel expiration regions and distribution positions of the dark pixel expiration regions; acquiring scenery deepness information of the fogged image; estimating the dark pixels in the dark pixel expiration regions according to the dark pixels in the dark pixel regions and the scenery deepness information; acquiring an edge line where the scenery deepness is changed obviously in the fogged image; re-calculating the dark pixels in preset width regions on two sides of the edge line; calculating the transmissivity of the fogged image; and defogging the fogged image according to the atmosphere light value and the transmissivity, and acquiring a clear defogged image. By the method, defogging of a grey region can be finished effectively, and the processing time and the storage space can be saved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a processing method, device and system for defogging based on a single image. Background technique [0002] When shooting outdoor scenes, the clarity of photos or videos is often reduced due to the presence of suspended particles in the air (such as smoke, fog, impurities, etc.), which directly affects the normal work of most automated image systems based on computer vision algorithms , such as transportation, outdoor surveillance, terrain detection systems, etc. Therefore, there is an urgent need for theoretical and practical research on image defogging. [0003] At present, the image defogging processing methods are mainly divided into two categories: the defogging processing method based on multiple images and the defogging processing method based on a single image. The defogging method based on multiple images has certain requirements for input data, wh...

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): G06T5/00
Inventor 李芳吴金勇王一科龚灼
Owner ANKE SMART CITY TECH PRC
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More