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

A method for defogging uuv visible light images near the sea

A visible light and image technology, applied in the field of optical vision imaging

Active Publication Date: 2020-09-11
HARBIN ENG UNIV
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, median filtering is not a good edge-preserving filtering method

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
  • A method for defogging uuv visible light images near the sea
  • A method for defogging uuv visible light images near the sea
  • A method for defogging uuv visible light images near the sea

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0037] like figure 1 As shown, a UUV offshore visible light image defogging method includes the following steps:

[0038] 1. Use VS2010 and OPENCV language programming to input and display the visible light reconnaissance image of the UUV offshore surface, denoted as I(x), and the visible light image is as follows figure 2 shown. Take the minimum value of the three color channels for I(x), record

[0039]

[0040] Image M(x) such as image 3 shown.

[0041] 2. Utilize the improved method of M(x) and quadtree subdivision method to obtain the steps of global atmospheric light comprising:

[0042] (1) Divide the picture into four rectangular areas.

[0043] (2) Calculate the average pixel value and variance of each region, and subtr...

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 provides a method for dehazing UUV offshore surface visible light images. (1) Obtain the original hazy image and find the minimum value of the three color channels, recorded as M(x); (2) Use the improved method of M(x) and the quadtree subdivision method to find the global atmospheric light; (3) Perform adaptive surface blur on M(x); (4) Find the atmospheric scattering function; (5) Use the foggy imaging physical model to obtain a fog-free image and output it. This invention performs adaptive surface blur on the minimum image of three color channels. Each pixel has its own convolution matrix, which can better maintain the edge of the target object and is beneficial to subsequent target recognition, positioning and tracking. At the same time, in order to overcome the local darkening phenomenon after filtering, the image is roughly divided into dark areas and bright areas with the help of global atmospheric light, and different radii are used for blur processing. This invention has a better degree of fog removal and can overcome the sky halo phenomenon.

Description

technical field [0001] The invention relates to an optical vision imaging method, in particular to a method for defogging visible light images of a UUV offshore surface. Background technique [0002] China has a long coastline and complex weather conditions at sea. Ship collision accidents caused by sea fog are not uncommon. When light propagates in the atmospheric medium, it is refracted or reflected by suspended particles, which causes a large number of features in the video images taken by cameras installed on maritime buoys or UUVs to be covered up, the contrast is reduced, and the edge details are blurred, which is easy to cause misjudgment of image content. Thus, it will affect the subsequent target positioning, identification and tracking. Therefore, dehazing of optical vision images at sea is a practical and challenging problem. [0003] In the document "Single Image Haze Removal Using Dark Channel Prior" (Proceedings of IEEE CVPR. Miami, USA: IEEE Computer Society...

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): G06T5/00G06T7/11
CPCG06T7/11G06T2207/30181G06T5/73
Inventor 管凤旭周丽萍严浙平张宏瀚周佳加车浩刘怀东
Owner HARBIN ENG 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