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Dense fog removal method based on accurate estimation of scene light radiation

A light radiation and accurate estimation technology, applied in computing, image data processing, instruments, etc., can solve problems such as incomplete defogging, color distortion, and inability to achieve defogging

Active Publication Date: 2017-11-07
BEIHANG UNIV
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Problems solved by technology

This type of algorithm cannot achieve real defogging, but can only improve the visual effect of the image to a certain extent, and it is easy to defog incompletely and cause color distortion.

Method used

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  • Dense fog removal method based on accurate estimation of scene light radiation
  • Dense fog removal method based on accurate estimation of scene light radiation
  • Dense fog removal method based on accurate estimation of scene light radiation

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Embodiment Construction

[0034] The dense fog removal method based on accurate estimation of scene light radiation provided by the present invention first estimates scene light radiation through an edge-preserving filter to eliminate the influence of scene light radiation attenuation. Then, the reflectance of the scene is calculated by using the properties of the pixel spherical coordinate system, and the image after dehazing is obtained. This is described in detail below.

[0035] In the present invention, the dense fog removal method based on the accurate estimation of scene light radiation includes the following steps, such as figure 1 Shown:

[0036] Step 1. Decompose the r, g, and b three color channels of the foggy image I to obtain the three color channel component maps I r , I g , I b , using the maximum value filter to respectively filter the three color channel component maps I r , I g , I b Perform calculations to obtain a rough estimate of the scene light radiation M r ,M g ,M b ...

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Abstract

The invention discloses a dense fog removal method based on accurate estimation of scene light radiation. The method mainly comprises the steps of performing maximum filtering on three channels of a fog image to acquire an initial value (S1) of scene light radiation; jointly filtering each channel of the fog image with the initial scene light radiation of the corresponding channel to obtain an accurate estimation (S2) of the scene light radiation; dividing each channel of the fog image by a corresponding scene light radiation component to obtain a fog image (S3) in which the scene light radiation attenuation influence is eliminated; projecting the image in which the scene light radiation attenuation influence is eliminated onto a spherical coordinate system, clustering pixels according to the angular dimension, and then calculating the transmittance (S4) of each pixel using a haze-line method; and obtaining a de-fogged image (S5) using the obtained transmittance and a fog imaging model. The luminance of the dense fog image processed by the method of the invention is suitable for human eye observation, and the details are clear.

Description

technical field [0001] The invention relates to an image enhancement method, in particular to a dense fog removal method based on accurate estimation of scene light radiation, and belongs to the technical field of digital image processing. Background technique [0002] The existence of fog in the image makes the visibility of the image greatly reduced, and people cannot obtain accurate information from it, and then make wrong judgments about the surrounding environment, which may even lead to disasters. In particular, under the weather conditions of dense fog, the visibility is extremely reduced and a large amount of image information is missing, which directly affects the effectiveness of the security monitoring system. Due to the image quality requirements of outdoor monitoring, in-depth research on fog image defogging technology has become an urgent problem to be solved for image clarity. [0003] Image defogging algorithms are mainly divided into two categories: one is ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T2207/10004G06T5/73
Inventor 胡海苗高原原李波郭强
Owner BEIHANG UNIV
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