Semi-inverse method-based rapid single image dehazing algorithm

A single image, fast technology, applied in the field of image processing, can solve problems such as image degradation

Active Publication Date: 2014-12-31
SOUTHWEAT UNIV OF SCI & TECH
View PDF3 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The model believes that two kinds of ambient light cause the degradation of the image

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
  • Semi-inverse method-based rapid single image dehazing algorithm
  • Semi-inverse method-based rapid single image dehazing algorithm
  • Semi-inverse method-based rapid single image dehazing algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] The present invention will be described in detail below in conjunction with specific embodiments.

[0061] 1.1 Algorithm process design

[0062] If the overall atmospheric illumination value is obtained by using the semi-inverse defogging detection algorithm of Codruta O et al. [11], the estimated overall atmospheric illumination is more robust than simply using the brightest point of the image, but its subsequent The effect of the dehazing algorithm is not ideal. Because the algorithm is in the process of weighting and summing different layers, the layer weight ratio is not convenient to set, and the contrast of the fog-free area has not been improved. Therefore, in order to overcome the shortcomings of the fusion algorithm method based on different illumination layers, the present invention adopts an improved semi-inverse algorithm to obtain the overall atmospheric illumination value, and then uses the image edge information and smooth area fusion method to estimate ...

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 semi-inverse method-based rapid single image dehazing algorithm, which comprises the following steps: In light of an atmospheric scattering model, working out an atmospheric global illumination value by utilizing an improved semi-inverse algorithm, wherein the robustness of the obtained atmospheric global illumination value is stronger than that of the maximum gray value in a dark channel; secondly, fusing the edge information and the scene depth information of an image upon the characteristic of atmospheric scattered light by taking the edge information of the image as a synthesis condition, and accurately estimating an atmospheric streamer; then, obtaining an initial restored haze-free image according to the atmospheric scattering model; finally, performing color adjustment and detail enhancement processing on the image after being initially dehazed to obtain a haze-free image with strong sense of reality. The semi-inverse method-based rapid single image dehazing algorithm has a very good processing effect on depth mutation or prospect pixels, so that a vignetting effect is eliminated; shown by a large number of experiments, the semi-inverse method-based rapid single image dehazing algorithm disclosed by the invention is capable of well keeping color and detail information, is better in automaticity and robustness, and can be further used for a video dehazing system.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an improved algorithm for fast single image defogging based on a semi-inverse method. Background technique [0002] The image defogging problem is summarized as an under-constrained problem in image processing in mathematical analysis. This kind of problem often has many unknown parameters and no objective evaluation criteria. In the early research of image dehazing algorithm, image enhancement methods, such as histogram enhancement, gamma correction, contrast stretching, etc., were generally used to restore the visual effect of the image. This method is defined as non-physical model method dehazing . However, such methods do not consider the inherent information factors and degradation process of the image, resulting in oversaturation or serious color distortion of the image. With the development of dehazing theory, more attention has been paid to the process of image...

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
Inventor 张红英刘言王小元吴亚东
Owner SOUTHWEAT UNIV OF SCI & TECH
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