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Bilinear Interpolation Dynamic Histogram Equalization for Fog-degraded Image Enhancement

机译:双线性插值动态直方图均衡用于雾降级图像增强

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摘要

The images degraded by fog suffer from poor contrast. In order to enhance the contrast, a fog degraded image contrast enhancement method based on Bilinear Interpolation Dynamic Histogram Equalization is proposed. First, the original image is divided into some same size sub-images. Second, the histogram of each sub-image is partitioned into sub-histograms without domination. Third, the new dynamic ranges are allocated for sub-histograms. Finally, HE and Bilinear Interpolation are respectively implemented to the image. Experimental results show that the proposed method give better performance as compared with some conventional algorithms.
机译:由于雾而劣化的图像对比度差。为了增强对比度,提出了一种基于双线性插值动态直方图均衡的雾化图像对比度增强方法。首先,原始图像被分成一些相同大小的子图像。其次,将每个子图像的直方图划分为多个子直方图,而不进行控制。第三,将新的动态范围分配给子直方图。最后,分别对图像进行HE和双线性插值。实验结果表明,与传统算法相比,该方法具有更好的性能。

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