JISP  >> Vol. 6 No. 2 (April 2017)

    A Method of Image Dehazing Using Atmospheric Scattering Model

  • 全文下载: PDF(1002KB) HTML   XML   PP.78-88   DOI: 10.12677/JISP.2017.62010  
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段立春,刘超,钟玮,陈丽清,蒋慕蓉:云南大学,信息学院计算机科学与工程系,云南 昆明

图像去雾大气散射模型灭点景深Image Dehazing Atmospheric Scattering Model Vanishing Point Depth of Field



In view of the problem that the image under foggy days is not clear, the atmospheric scattering model is used to process the image dehazing. First, the Curvelet transform extracts the image edge and calculates the vanishing point on the basis of the intersection of straight line edges. Then it calculates the depth of field value according to the vanishing point. The radiation coefficient of incident light in the foggy image is obtained, which means that the real color value of the image is obtained and the image dehazing is finished. When calculating the depth of field value, it respectively calculates the depth of field value of every foggy image’s pixel at the same time, which solves the partial area color distortion problem that is caused by using single depth of field, and makes the processed image look more natural. Finally, the validity of the method is verified by experiments.

段立春, 刘超, 钟玮, 陈丽清, 蒋慕蓉. 一种利用大气散射模型实现图像去雾的方法[J]. 图像与信号处理, 2017, 6(2): 78-88. https://doi.org/10.12677/JISP.2017.62010


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