Real-time image defogging method based on image field depth

A real-time image and image technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as large amount of calculation, time-consuming, and limited wide application, so as to improve real-time performance and reduce the number of minimum comparisons and calculations. amount, the effect of enhancing local contrast and global contrast

Active Publication Date: 2014-07-02
NANJING 55TH INSTION TECH DEV
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Problems solved by technology

This method performs minimum value filtering on each pixel to calculate the dark channel image, so as to estimate the atmospheric parameters and transmittance, and then restore the haze-free image according to the imaging model. The image takes a lot of time and it is difficult to meet the real-time requirements, which limits the wide application of the algorithm in the engineering field
In addition, for foggy scenes with

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  • Real-time image defogging method based on image field depth
  • Real-time image defogging method based on image field depth
  • Real-time image defogging method based on image field depth

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[0027] Such as figure 1 As shown, the real-time image defogging method based on image depth of field of the present invention comprises the following steps:

[0028] Step 1, read the foggy image I(x, y), where x and y represent the abscissa and ordinate of each pixel in the image, assuming that the height of the image is h pixels, and the width is w pixels, if the If the foggy image I(x,y) is a color image, the minimum value of each pixel R, G, and B channel in the foggy image I(x,y) is assigned to each pixel's R, G, and B channels , the grayscale image of the foggy image I(x,y) is obtained as I g (x, y), if the foggy image I(x, y) is a grayscale image, then the grayscale image will take the image, that is, I g (x,y)=I(x,y);

[0029] Step 2, based on the dark primary color principle, the grayscale image I g All pixels of (x, y) are divided into several square areas Ω of N*N pixels, if the grayscale image I g The side length of (x, y) is not an integer multiple of the side...

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Abstract

The invention provides a real-time image defogging method based on the image field depth. Firstly, gray level image processing is carried out on a foggy image; secondly, the gray level image is divided, the dark primary color image is calculated in a minimum value mode, the atmosphere light value is estimated, a rough atmosphere dissipation image and a field depth mask are calculated; thirdly, edge-feathered masks and enhanced images with different field depths are calculated; lastly, fusing is carried out, and a defogged image is obtained. According to the method, when a single image is processed, the field depth information is added into an image contrast increasing method, an image layer fusing method is adopted, parallel computing can be carried out, the real-time performance is high, and the defogging effect is obvious.

Description

technical field [0001] The invention relates to a digital image processing method, in particular to a real-time image defogging processing method. Background technique [0002] In fog, haze and other weather conditions, the scattering effect of a large number of tiny water droplets and aerosols suspended in the atmosphere will seriously degrade video images, which greatly limits and affects the functions of outdoor systems such as urban traffic, video surveillance, and smart vehicles. Therefore, it is necessary to dehaze the degraded image and restore the real scene image. For applications such as video surveillance, the efficiency and real-time performance of defogging processing are crucial. [0003] The current methods of fog image processing can be roughly divided into two categories: one is based on image enhancement methods, which do not consider the specific formation process of fog images, but only select the interesting part of the image for enhancement. Commonly ...

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Application Information

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IPC IPC(8): G06T5/40
Inventor 宋文丁进孟明
Owner NANJING 55TH INSTION TECH DEV
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