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

Improved dark channel prior image defogging algorithm based on fast steerable filtering

A dark channel prior and guided filtering technology, which is applied in the field of image defogging algorithm, can solve problems such as complex transmittance calculation, color distortion in the sky area, white object interference, etc., to achieve improved processing time, bright colors, and improved defogging effect Effect

Inactive Publication Date: 2018-05-11
HARBIN UNIV OF SCI & TECH
View PDF1 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Aiming at the deficiencies of the prior art, the present invention provides an improved dark channel prior image defogging algorithm based on fast guided filtering, which solves the problem that the global atmospheric light intensity estimation in the existing dark channel prior single image defogging algorithm is easily affected by the graph. The interference of neutral white objects, the color distortion of the sky area, and the complex problem of optimizing the transmission rate calculation using the soft matting 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
  • Improved dark channel prior image defogging algorithm based on fast steerable filtering
  • Improved dark channel prior image defogging algorithm based on fast steerable filtering
  • Improved dark channel prior image defogging algorithm based on fast steerable filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

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

[0026] Such as Figure 1 to Figure 2 As shown, the embodiment of the present invention provides an improved dark channel prior image defogging algorithm based on fast guided filtering. The foggy imaging model is often used in image defogging. The model can be expressed as the following formula:

[0027] I(x)=J(x)t(x)+A(1-t(x)) (1.1)

[0028] I(x) represents the captured foggy image, J(x) represents the clear fog-free image to be restored, A represents the global atmospheric light intensity, and t(x) is the medium transmittance. In a homogeneous atmosphere:

[0029] t(x)=e -βd(x) (1.2)

[0030] β is the atmospheric scattering coefficient, and d(x) is the depth of field. According to the prior law of the dark channel, in most local areas of the non-sky area, there is at least one pixel in the channel whose brightness value is very low or ev...

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 improved dark channel prior image defogging algorithm based on fast steerable filtering, and belongs to the technical field of image defogging algorithms. The invention aimsat solving problems that the global atmosphere light intensity evaluation in a conventional dark channel single-image defogging algorithm is liable to be disturbed by a white object, the color of a sky region is distorted and the calculation is complex when a software image cutting method is used for optimizing transmissivity. According to the invention, the algorithm provided by the invention employs an improved quadtree search algorithm and the improved fast steerable filtering for refining the transmissivity, effectively improves the defogging effect, is bright in color of a recovered image, is clear and natural in visual effect, and improves the processing time to a certain degree.

Description

technical field [0001] The invention relates to an improved dark channel prior image defogging algorithm based on fast guided filtering, and belongs to the technical field of image defogging algorithms. Background technique [0002] Severe weather such as smog and haze occurs in a large area in my country in autumn and winter, and the suspended particles in the air absorb and scatter light, resulting in low contrast and color distortion of images captured by imaging equipment. Surveying, remote sensing aerial photography and other fields have had a significant impact, and the research on image defogging algorithms is particularly important. Contents of the invention [0003] Aiming at the deficiencies of the prior art, the present invention provides an improved dark channel prior image defogging algorithm based on fast guided filtering, which solves the problem that the global atmospheric light intensity estimation in the existing dark channel prior single image defogging a...

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): G06T5/00G06T5/50
CPCG06T5/50G06T2207/10004G06T2207/10024G06T2207/20024G06T5/73
Inventor 于天河潘婷
Owner HARBIN UNIV OF SCI & TECH
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