A sharping method of image blurred by fog

QU Hangzhang · 2012

In order to improve the sharpness degree of images captured in the condition of foggy weather,an useful defogging method for image is proposed.First,a dark channel prior algorithm is utilized to remove the fog interference from a single input image.Then it uses a soft matting interpolation algorithm to further improve the image effect.Finally,the interval information of image is used to magnify the images in order to obtain satisfactory visual effect of the image.The experimental results show that the defogging method proposed can not only directly estimate the concentration of the fog,but also recovery remove fog interfere with a clear image of high-quality.

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