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To make the image details in smoggy and dusty weather clear without reducing the quality of clear parts, is the key point of outdoor static image restoration. This paper put forward an image enhancement algorithm that can handle haze and dust image at once. First, use self-adaptive white balance algorithm to correct the color cast. Second, put forward a bright region segmentation method to revise transmittance which results in distortion in bright area based on dark channel prior. Third, use adaptive gamma technology to further correct the transmittance. Experiments show this method can recover more degraded image information than existing estimation methods.

Research of Image Enhancement Algorithm under Inclement Weather