Improved dark channel defogging method adopting weighted least square filtering
A weighted least squares and dark channel technology, applied in the field of image processing, can solve problems such as obvious halos
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[0059] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the accompanying drawings.
[0060] Such as figure 1 As shown, an improved dark channel defogging method using weighted least squares filtering of the present invention comprises the following steps:
[0061] S1. Obtain foggy image data I;
[0062]S2. Estimate the atmospheric light value; take the top 0.1% of pixels from the dark channel image according to the brightness. Among these positions, the value corresponding to the point with the highest brightness is found in the original image as the A value, and A represents the atmospheric light value.
[0063] S3. Using the atmospheric light value to normalize the foggy image; the specific process is:
[0064]
[0065] Among them, P is the normalized image, A is the atmospheric light value, and I is the foggy image;
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