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

Dark channel sky area defogging method based on threshold segmentation optimization

A technology of sky area and threshold segmentation, which is applied in the field of image processing, can solve problems such as poor restoration effect, and achieve the effect of avoiding color distortion, optimization effect, and good restoration effect

Inactive Publication Date: 2016-06-01
XIDIAN UNIV
View PDF2 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But when the image has a large number of bright sky areas, the dark channel prior theory is no longer applicable to these areas, resulting in poor restoration effect

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
  • Dark channel sky area defogging method based on threshold segmentation optimization
  • Dark channel sky area defogging method based on threshold segmentation optimization
  • Dark channel sky area defogging method based on threshold segmentation optimization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The present invention will be further described below in conjunction with the drawings.

[0026] Reference figure 1 The specific steps of the present invention are as follows:

[0027] Step 1: Input an optional foggy image I containing the sky area, and calculate the dark channel value and atmospheric light value A of the foggy image sequentially:

[0028] (1a) from figure 2 with image 3 Choose a foggy image with sky area as the input foggy image I;

[0029] (1b) Perform 9×9 minimum filtering on the R, G, and B channels of the foggy image I, namely the red, blue and green channels;

[0030] (1c) For each pixel of the foggy image, take the minimum value of the R, G, and B channels filtered in (1a) at that point, as the dark channel value of the foggy image at that point, as follows formula:

[0031] I d a r k ( x ) = min c A ( r , g , b ) ( min y A Ω ( x ) ( I c ( y ) ) ) ,

[00...

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 a dark channel sky area defogging method based on threshold segmentation optimization, and mainly solves the situation of poor processing effect of the sky area of an image of a foggy day in the prior art. The realization steps of the dark channel sky area defogging method based on threshold segmentation optimization are that (1) a randomly selected foggy image including the sky area is inputted, and the dark channel value and the atmospheric light value of the image are calculated in turn; (2) the transmission graph of the foggy image is solved; (3) orienting filtering is performed on the transmission graph so that the optimized transmission graph is obtained; (4) the sky area is marked; and (5) transmittance of the sky area is amplified so that the defogged image is restored. Fog information of non-sky areas of the image of the foggy day can be effectively eliminated, and the sky area processing effect can be optimized so that the phenomenon of color distortion and halation of the sky area can be avoided, and thus the dark channel sky area defogging method based on threshold segmentation optimization can be used for image enhancement and video monitoring.

Description

Technical field [0001] The invention belongs to the technical field of image processing, and further relates to an image defogging method, which can be used for image enhancement and video monitoring. Background technique [0002] The purpose of image defogging is to remove the fog information in the image, improve the contrast of the image, and improve the quality of the image. Due to the interference of weather and other factors, the image collection process may be affected by factors such as haze, smog, etc., which will reduce the contrast of the image, reduce the quality of the image, and affect the subsequent processing and use value of the image. Therefore, image defogging is of great significance. [0003] Rui Yibin, Li Peng, Sun Jintao, etc. published a paper "An Interactive Foggy Image Dehazing Method" and proposed a multi-scale Retinex (MSR) dehazing algorithm based on Retinex (Retinal-cortex-theory) theory. Retinex theory is a representative calculation theory based on...

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
IPC IPC(8): G06T5/00
CPCG06T2207/20024G06T5/00
Inventor 白静符俢亮余立付焦李成侯彪王爽马文萍杨淑媛
Owner XIDIAN 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com