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Haze Image Enhancement Based on Space Fractional-order Partial Differential Equation

机译:基于空间分数阶偏微分方程的雾度图像增强

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Based on good amplitude frequency characteristics and the spatial global correlation of fractional-order differential, an energy functional of haze image enhancement is established by taking fractional derivative on both sides of the atmospheric physics scattering model, and a haze image enhancement model based on space fractional-order partial differential equation is obtained by using steepest descent method. Based on fast wavelet transform, the low-frequency part of patch transmission and the high-frequency part of point transmission are fused to estimate the transmission. Finally, the numerical solution of the fractional-order partial differential equation is obtained by the finite difference method. The experimental results show that the algorithm can improve the contrast, brightness and clarity of the image, and it is an effective image enhancement method for haze images.
机译:基于良好的振幅频率特性和分数阶微分的空间全局相关性,通过在大气物理散射模型的两侧取分数导数和基于空间分数的雾霾图像增强模型,建立了雾霾图像增强的能量函数。利用最速下降法获得一阶偏微分方程。基于快速小波变换,将斑块传输的低频部分和点传输的高频部分融合在一起,以估计传输。最后,通过有限差分法获得了分数阶偏微分方程的数值解。实验结果表明,该算法可以提高图像的对比度,亮度和清晰度,是一种有效的雾度图像增强方法。

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