Gaussian filter-based real-time defogging method for single image

A single image, Gaussian filtering technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as high algorithm complexity, inability to achieve real-time processing, and inability to apply application systems

Active Publication Date: 2012-12-19
BEIHANG UNIV
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Problems solved by technology

However, the above algorithm has high complexity and slow processing speed, and cannot achieve

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  • Gaussian filter-based real-time defogging method for single image
  • Gaussian filter-based real-time defogging method for single image
  • Gaussian filter-based real-time defogging method for single image

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Embodiment Construction

[0102] In order to better understand the technical solution of the present invention, the following further describes the embodiments of the present invention:

[0103] The present invention is implemented under the Microsoft Visual Studio 2008 language environment. The computer reads the original foggy image, first calculates the dark channel image of the input image and estimates the global atmospheric light value through the dark channel image, then roughly estimates the atmospheric dissipation function, and then uses Gaussian filtering to perform a rough estimation of the atmospheric dissipation function refinement, and finally calculate the scene irradiance with an improved algorithm.

[0104] The present invention is a single image defogging method based on Gaussian filtering, the flow of the method is shown in figure 1 shown. The method includes the following steps:

[0105] Step 1: Read the original foggy image I(x), "calculate the dark channel image and estimate th...

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Abstract

The invention provides a Gaussian filter-based real-time defogging method for a single image. The method is established on the basis of a physical model and can realize real-scene recovery of a degraded quality image. The method comprises the following four main steps of: step 1, calculating, inputting a dark channel image of a fogged image and estimating an overall atmosphere light value; steps 2, primarily estimating an atmosphere dissipative function; step 3, adopting Gaussian filtering to refine the atmosphere dissipative function; and step 4, recovering a scene radiancy. With the adoption of the method, defects that an existing defogging method is slower in defogging speed and cannot be applied to a real-time processing system are overcome; and the method is good in effect of an obtained defogged image and rapid in processing speed, can be applied to a real-time system, and has a better practical value and a wide application background.

Description

(1) Technical field: [0001] The invention relates to a real-time defogging method for a single image based on Gaussian filtering, which is suitable for image defogging under foggy conditions and belongs to the field of digital image processing. (2) Background technology: [0002] Under weather conditions such as fog and haze, the visibility and contrast of natural scene images taken outdoors are greatly reduced. The light reflected by the surface of the object is absorbed and scattered by the aerosol and the tiny particles suspended in the atmosphere, which causes the color degradation of the scene image acquired by the outdoor monitoring system, and the contrast and saturation decrease. The degradation of outdoor images directly affects the outdoor applications of computer vision systems, such as video monitoring, urban traffic, intelligent vehicles, etc. Therefore, it is necessary to process images and videos taken under foggy conditions to eliminate the impact of weather....

Claims

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Application Information

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IPC IPC(8): G06T5/10
Inventor 史振威隆姣汤唯刘柳张长水
Owner BEIHANG UNIV
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