基于双线性插值动态直方图均衡化的雾天图像增强算法

为解决雾天图像降质问题,提出一种基于双线性插值动态直方图均衡化(BIDHE)的雾天图像增强算法.将原始图像分割为若干大小相同的子图像,利用局部最小值分割子图像直方图,计算子直方图输出灰度映射范围,然后对子直方图进行直方图均衡化,对图像进行双线性插值.选取真实雾天降质图像为处理对象,利用边缘检测及均方误差(MSE)、信噪比(SNR)和峰值信噪比(PSNR)3项评价指标对不同算法进行比较.结果表明,该算法有效增强了雾天降质图像对比度,并且清晰地恢复了图像细节.

Enhancement algorithm of fog-degraded images based on bilinear interpolation dynamic histogram equalization

To resolve the fog-degraded image problem,fog removal method based on bilinear interpolation dynamic histogram equalization(BIDHE) was proposed.The original image was split into some sub-images with same size,and the histogram of each sub-image was partitioned by the local minima.The gray level range in output image could be calculated according to the equations,and then HE was applied to each sub-histogram,and the defogged image was achieved by the bilinear interpolation.A real fog degraded image was selec...