A Single Image Dehazing Method Based on Sky Region Segmentation

Abstract

The invention discloses a single image defogging method based on sky region segmentation, which solves the disadvantage that the traditional dark channel defogging algorithm does not adapt to the sky region and produces negative visual effects. By comprehensively utilizing the visual features in the image, a method combining simple linear iterative clustering and edge detection is used to accurately segment the sky region in the image. On this basis, independent transmittance estimation is performed on the non-sky area according to the average saturation prior, and independent visual effect enhancement processing is performed on the sky area, thereby overcoming the over-enhancement, color loss caused by traditional dehazing processing on the sky area. partial negative effects. Finally, aiming at the shortcoming of dark image after defogging, a Retinex method based on guided filter is proposed to enhance the visual effect of the image after defogging processing.

Description

technical field [0001] The invention relates to a method for defogging a single image based on sky region segmentation, and belongs to the technical field of image processing. Background technique [0002] Images / videos taken in hazy weather are subject to the influence of turbid media in the atmosphere (such as hydrosol, fog, haze, etc.) Causes loss of image visibility, such as blurred contrast, color shift, and reduced dynamic range. In view of the fact that many applications in the fields of image understanding, target recognition, and target tracking in computer vision systems are based on the premise that the input image or video is taken under ideal weather conditions, the clarity of the image has a great impact on subsequent interpretation, analysis, recognition, and measurement results. accuracy will have some impact. Therefore, the study of fast image defogging algorithms has attracted more and more attention from researchers. [0003] In recent years, single ima...

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Problems solved by technology

[0003] In recent years, single image defogging has attracted the attention of many scholars. These methods realize image defogging by using the prior information contained in a single image or proposing some reasonable assumptions. He et al. through a large number of outdoor haze-free images According to the observation, a dark channel prior defogging algorithm is proposed, which has achieved good results, but there are still defects

The soft matting algorithm adopted by this method when refining the transmittance is complex, and it is difficult to achieve real-time dehazing of the image; since the sky region does not satisfy the dark channel prior, the restored image is prone to noise and color distortion in the sky region ;In addition, the color of the image after defogging through the dark channel is dark, which reduces some visual effects

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