Image Remove the Fogfog Algorithm Based on Improvement Chaotic under Haze Pollution
Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
37
Number of periods:
2016 04
Page number:
91-96
Column:
Public date:
2016-08-31
- Title:
- Image Remove the Fogfog Algorithm Based on Improvement Chaotic under Haze Pollution
- Keywords:
- haze; chaos; defogging algorithm; improvement
- CLC:
- -
- Abstract:
- The traditional edge preserving filtering based single image fast defogging algorithm, under the influence of atmospheric particle scattering caused by haze pollution, the image will be affected by the fog background, resulting in dense fog noise and poor image structure information restoration. A weighted filtering image fast defogging algorithm based on chaos is proposed, which obtains the chaotic characteristics of the image data by analyzing the image information under the fog background interference, And the minimum color component estimation is performed on the atomized image. Based on this, a self adaptive weighted filtering model is constructed by combining the dark primary color model of the fogged image, the time-domain and frequency-domain feature component models, and an improved design of a chaotic weighted filtering image fast defogging algorithm is completed. The experimental results show that using this algorithm can avoid color distortion in the middle area of the atomized image, reduce atomization background interference, and reduce dense fog noise, Reasonably preserving the chaotic features of the distant view has advantages in image quality and computational performance
- References:
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