摘要
提出一种基于 CR 图像的多尺度对比增强算法。该算法根据 Laplacian 金字塔函数将图像分解,在每层像素上运用 F/E 处理和对比均衡增加对比度,应用分层增强系数自适应控制增强程度。试验结果表明该算法不再选择特征中心尺寸就能清楚显示出 CR 图像细节特征,同时不会产生伪影。
This article elaborates on a multi-scale contrast enhancement algorithm based on CR im- age.The basic idea is to decompose the image according to the Laplacian pyramid transform,and then to implement F/E processing,the contrast equalization,and at last to implement the self-acting delami- nated enhancement factors in every pyramid layers.The experiment results show that the algorithm with- out regard to feature size generally improves the visualization of subtle image features,and at the same time there are not artifacts in the image.
