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Rapid fog and haze image sharpening method

A clearing and image technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as poor restoration effect, non-adaptive parameters, and large amount of calculation, achieving strong adaptability, simple calculation, and reduced complexity. degree of effect

Active Publication Date: 2017-01-11
HUAQIAO UNIVERSITY
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Problems solved by technology

[0004] The present invention provides a fast image clearing method in foggy days, which is used to solve the problems of the existing image clearing algorithms in foggy days, such as large amount of calculation, non-adaptive parameters, and poor restoration effect, so as to make image clearing in foggy days more efficient. Efficient, better recovery results

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  • Rapid fog and haze image sharpening method

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Embodiment Construction

[0041] The present invention will be further described below through specific embodiments.

[0042] refer to figure 1 , a fast image clearing method in foggy days of the present invention, the following variables are pre-defined to facilitate algorithm description:

[0043] Haze day image: I

[0044] Pixel coordinates: (x,y)

[0045] Color components: r, g, b

[0046] First define the size of the entire image as imagesize: imagesize=Height*Width, where Height is the height of the image and Width is the width of the image.

[0047] The pre-defined mean filter is meanfilter(N), then: Where N is the window size of the mean value filter, then the window size N1 of the large-scale mean value filter: N1=floor(k 1 *min(Width,Height)); the window size N2 of small-scale mean filtering: N2=1+floor(k 2 *min(Width,Height)); Among them, floor() is the operation of rounding down integers, k 1 ,k 2 It is a preset control parameter, Height is the height of the image, Width is the width...

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Abstract

The invention belongs to the field of digital image processing, and relates to a rapid fog and haze image sharpening method, so as to solve problems that conventional imaging equipment is low in color saturation of images, is not bright in color and is fuzzy in detail information. The method can improve the detail information of the image and a subjective visual perception effect. The method employs an atmosphere light scattering model according with the natural imaging law, and the recovery effect accords with the characteristics of human vision. The method employs the adaptive average filtering and a method for adaptively solving a brightness repair factor and atmospheric radiation intensity, and can adapt to various of different occasions. The method is suitable for a color image or a gray scale image, is suitable for an optical image or other images, and is universal. The method comprises the steps: calculating a minimum color component image, and carrying out the approximate evaluation of the far and near scenery fog concentrations; solving and further repairing the global atmosphere light intensity and a global atmosphere light curtain; recovering a fog image and carrying out the subsequent brightness and color adaptive improvement of the recovered image.

Description

technical field [0001] The invention relates to the field of digital image and video processing, in particular to a method for quickly clearing images in haze days. Background technique [0002] In haze weather, a large number of small water droplets and various particles are suspended in the atmosphere. The scattering effect of various particles and small water droplets on light seriously interferes with the work of various outdoor machine vision systems. Especially in recent years, due to the influence of various industrial pollutions, there have been various degrees of smog pollution incidents in most regions of my country, which has greatly reduced the quality of images captured by various outdoor monitoring systems, making it difficult to achieve effective monitoring and management , so color image sharpening in foggy scenes is an important operation in the field of image processing and is widely used. [0003] At present, the implementation methods of image clarity in ...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/73
Inventor 戴声奎刘子兵高剑萍
Owner HUAQIAO UNIVERSITY
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