文件名称:hazelunwen
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通过位平面分解法分割天空区域并运用椭圆最小二乘法拟合日周光散射光圈,并自动确定日周光的中心,将中心点的亮度与天空区域平均亮度的加权值作为最终提取的天空亮度值 最后运用大气散射模型对雾天降质图像进行复原-In t his paper , we segment t he sky area by bit2plane decomposition , and fit
circadian light scat tering ring using elliptical least squares , which could automatically determine t he cent ral
brightness of the sky. Then we weight t his cent ral brightness value wit h t he average bright ness value of the
segmented sky region as t he final sky region brightness. Finally , we use t he fog atmosp heric scattering model
to recover degraded images.
通过位平面分解法分割天空区域并运用椭圆最小二乘法拟合日周光散射光圈,并自动确定日周光的中心,将中心点的亮度与天空区域平均亮度的加权值作为最终提取的天空亮度值 最后运用大气散射模型对雾天降质图像进行复原-In t his paper , we segment t he sky area by bit2plane decomposition , and fit
circadian light scat tering ring using elliptical least squares , which could automatically determine t he cent ral
brightness of the sky. Then we weight t his cent ral brightness value wit h t he average bright ness value of the
segmented sky region as t he final sky region brightness. Finally , we use t he fog atmosp heric scattering model
to recover degraded images.
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基于位平面分解的E_自动提取去雾算法.pdf
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