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Image defogging method based on dark channel prior and Markov random field

A dark channel prior, random field technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as incomplete dehazing

Inactive Publication Date: 2017-12-29
CHONGQING UNIV OF POSTS & TELECOMM +1
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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the existing algorithm does not completely remove the fog, and proposes to optimize the transmittance by using the Markov random field, and use the block search method to obtain the atmospheric light value, so as to effectively maintain the detailed information of the image structure and remove the fog. The final picture presents rich details and more realistic color visual effects

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  • Image defogging method based on dark channel prior and Markov random field
  • Image defogging method based on dark channel prior and Markov random field
  • Image defogging method based on dark channel prior and Markov random field

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Embodiment Construction

[0060] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0061] The technical scheme that the present invention solves the problems of the technologies described above is:

[0062] The execution flow chart of the present invention is as figure 1 Shown, its specific technical scheme is as follows:

[0063] 1. Obtain the original foggy image D(x).

[0064] 2. The POSHE algorithm is used to enhance the original foggy image, so that the histogram distribution of the foggy image is more balanced and the dynamic range is expanded, so as to facilitate the subsequent dehazing process. The execution steps of the POSHE algorithm are as follows:

[0065] (1) For an input image D(x,y), the size is M×N, define its output image as H(x,y), and the number of times of accumu...

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Abstract

The invention provides an image defogging method based on a dark channel prior and a Markov random field. Aiming at problems that image quality is greatly reduced under a haze environment and a lot of defogging image structure detail information is lost by using an existing algorithm, a single image defogging method combining the dark channel prior (DCP) and the Markov random field (MRF) is provided. The method is characterized by firstly using sub-block portion overlapping local histogram equalization (POSHE) to enhance an original fog image so as to increase a contrast ratio, and through a DCP algorithm, acquiring an optimized transmissivity; using a constraint characteristic of a MRF model to image structure detail information to carry out modeling on the transmissivity so as to further refine the transmissivity; and according to a substantial characteristic of a sky domain, through a partitioning search method, calculating an atmospheric optical value. Compared to a traditional defogging method, by using the method of the invention, an accurate transmissivity image can be acquired, image structure information is effectively maintained, and the defogged image presents abundant details and a real color visual sense effect.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to an image defogging method based on a dark channel prior and a Markov random field. Background technique [0002] In severe weather conditions such as smog, there are various suspended particles in the atmosphere that can scatter ambient light. This leads to serious degradation of images collected in natural scenes, often manifested as: reduced image contrast, reduced dynamic range, feature attenuation, inconspicuous or obvious lack of detail information, and serious color shift and distortion. It will directly affect the visual effect of the image, greatly reducing the appreciation and practicality of the image. Therefore, it is very important to overcome the influence of severe weather to enhance or restore clear images with rich structural details. [0003] At present, image dehazing algorithms are mainly divided into image enhancement dehazing me...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/40G06T7/143
CPCG06T5/40G06T7/143G06T2207/20021G06T5/73G06T5/70
Inventor 吴翠先左星何登平
Owner CHONGQING UNIV OF POSTS & TELECOMM
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