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Image haze removal method based on pixel dark channel and anisotropic diffusion filtering

An anisotropic and diffusion filtering technology, used in image enhancement, image data processing, instruments, etc., can solve the problems of occupying a lot of storage resources, large amount of calculation, slow processing speed, etc.

Inactive Publication Date: 2015-03-04
JIAYING UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to address the deficiencies of the above-mentioned prior art, to provide an image defogging method based on pixel dark channel and anisotropic diffusion filter for rapid defogging of a single image, and to overcome the calculation problems existing in the DCP defogging method. Large volume, high storage resource usage, and slow processing speed

Method used

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  • Image haze removal method based on pixel dark channel and anisotropic diffusion filtering
  • Image haze removal method based on pixel dark channel and anisotropic diffusion filtering
  • Image haze removal method based on pixel dark channel and anisotropic diffusion filtering

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experiment example

[0052]The present invention is compared with the current international mainstream dehazing algorithm—He Yuming DCP method in terms of running time and restoration effect. Select two foggy images, the experimental hardware environment is: AMD Athlon(tm) 64x2Dual core Processor 5200+2.7GHz, 1.75GB memory; the software environment is: Windows XP Sp2+Matlab R2009b. In the experiment, the parameters of anisotropic diffusion filter are: △t=0.2, iteration 30 times. See Table 1 for the comparison of the defogging running time.

[0053] Table 1 The inventive method compares with the DCP method running time

[0054]

[0055] In order to quantitatively analyze and compare the restoration effects of different defogging methods, the average gradient is used as an objective evaluation index for image clarity. The average gradient reflects the micro-detail contrast and texture change characteristics and clarity in the image. The larger the average gradient, the richer the edge informatio...

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Abstract

The invention discloses an image haze removal method based on a pixel dark channel and anisotropic diffusion filtering, belonging to the technical field of the image haze removal method. The technical key point is that the image haze removal method comprises the following steps of: (1) calculating a dark channel Idark(x) of each pixel point of haze image I(x); (2) calculating an atmospheric light intensity value A according to the dark channel Idark(x) of each pixel point; (3) performing anisotropic diffusion filtering on the dark channel Idark(x) of each pixel point; and (4) calculating transmittance t(x) of each pixel point according to a transmittance calculating formula; and (5) performing image restoration processing according to the atmospheric light intensity value A and the transmittance t(x). The invention aims at providing the image haze removal method, which is relatively small in calculated amount, less in stored resources occupied and quick in processing speed, based on pixel dark channel and anisotropic diffusion filtering. The image haze removal method is used for image haze removal processing.

Description

technical field [0001] The present invention relates to an image defogging method, in particular to an image defogging method based on pixel dark channel and anisotropic diffusion filtering. Background technique [0002] In foggy weather conditions, due to the scattering effect of the atmosphere, the images acquired by the image acquisition equipment often have degradation phenomena such as decreased contrast and blurring, which seriously affect the performance of outdoor computer vision systems (such as road traffic monitoring, aircraft and ship navigation, etc.) normal work. Therefore, image defogging technology has important practical value. [0003] Single image dehazing enhancement methods are mainly divided into two categories: one is the non-model image enhancement method, and the other is the method based on the atmospheric scattering model. The non-model image enhancement method is to enhance the contrast of the degraded image through image processing technology t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 龚昌来
Owner JIAYING UNIV
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