Haze image rapid haze removal method

An image and haze technology, applied in the field of image processing, can solve problems such as slow optimization speed, inability to apply real-time systems, slow defogging speed, etc., to achieve fast calculation, save calculation time, and reduce calculation amount

Active Publication Date: 2013-07-10
CHENGDU GUOYI ELECTRONICS TECH CO LTD
View PDF2 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0017] On the other hand, a method for estimating and optimizing the medium transmission rate of haze images based on fast Gaussian filtering is introduced. The disadvantages of the existing technology, such as slow optimization speed, slow defogging speed, and inability to apply to real-time systems, etc.

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
  • Haze image rapid haze removal method
  • Haze image rapid haze removal method
  • Haze image rapid haze removal method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0096] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following description.

[0097] Such as figure 1 As shown, the haze image fast dehazing method, which includes the following steps:

[0098] (1) Quickly calculate the dark channel of the haze image, and then calculate the atmospheric light value A according to the dark channel image;

[0099] (2) Estimate and optimize the medium transmission rate;

[0100] (3) Input the haze image, atmospheric light value A and medium transmission rate into the fogging imaging model to obtain the image after dehazing.

[0101] Such as figure 2 As shown, the fast calculation of the dark channel of the haze image includes the following steps:

[0102] S11: Establish a cross-shaped dark channel template, the cross-shaped dark channel template is composed of a horizontal dark chan...

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 haze image rapid haze removal method. Dark channel rapid computation comprises the steps of establishing a cross-shaped dark channel formwork; computing pixel values of a transverse dark channel window and a longitudinal dark channel window; and comparing the pixel values and assigning a minimum value to an image dark channel. A mean value of a maximum gray value of 0.1% of a pixel in the dark channel is selected and serves as an atmosphere light value; a transmission image is obtained according to a dark channel image; and the transmission image is refined through a rapid Gaussian filter. Due to the fact that the cross-shaped formwork is adopted, computing area and computing amount are reduced; repeated computation is avoided and computing time is saved; the atmosphere light value is computed and obtained in the dark channel in the process of estimation and computing speed is accelerated under the premise of guaranteeing haze removal effect; and a transmission rate is optimized through a recursion Gaussian filter method and an optimized result is good.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method for quickly defogging haze images. Background technique [0002] In the field of computer vision, the sharpening of images in foggy scenes is an important issue, which is crucial for subsequent operations such as visual interpretation and computer vision analysis. In the range of visible light imaging, due to the influence of fog, dust and other particles in the atmosphere, as the transmission distance increases, the light reflected by the object and reaching the photosensitive sheet of the camera is very weak, making the image blurred, especially in foggy weather. Visibility is very low, and the haze of images taken in foggy weather is even more serious. Therefore, the defogging technology has great practical significance. [0003] At present, in the field of computer vision, there are roughly two methods for clearing fog and haze images: one is an enhancement method b...

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): G06T5/00
Inventor 刘军肖然何琦宋博
Owner CHENGDU GUOYI ELECTRONICS TECH CO LTD
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