RESEARCH ON IMAGE DEFOGGING ALGORITHM BASED ON IMAGE SEGMENTATION AND FUSION
In order to solve the problems of details lost and low brightness caused by the traditional dark channel prior defogging method,a new defogging algorithm based on image segmentation and fusion is proposed in this paper.First,the input image is preprocessed by MSRCR of brightness inversion to achieve color fidelity,then the image features are extracted by threshold segmentation and the mask is obtained.An adaptive gamma correction method is designed to improve the contrast and brightness of the image.A method of dark channel prior is used to preserve the details after dehazing.The simulation results on real-world datasets are shown that the proposed algorithm in the paper can retain more details and improve the brightness after defogging.Compared with several classical algorithms,the proposed algorithm has better color fidelity,more details,better defogging effect and more natural brightness.
万方数据
维普
