基于高斯金字塔和拉普拉斯金字塔融合的图像对比度增强算法研究

Research on Image Contrast Enhancement Algorithm Based on Fusion of Gaussian Pyramid and Laplacian Pyramid

为了实现对图像的降噪,兼顾全局整体增强和局部细节增强,首先定义输入图像的对比度度量模型和亮度度量模型,然后构造标量权重映射,并进行归一化处理,接着综合利用高斯金字塔和拉普拉斯金字塔,制定融合规则,利用融合金字塔重构图像,实现图像增强。

In order to implement image denoising,as well as can be both global content enhancement and local details enhancement,this paper defined the contrast and brightness metric model,constructed the scalar weight map by these two models and normalized it,then we defined fusion rules of the laplacian pyramid decomposition and the gaussian pyramid decomposition,finally we finished image enhancement by the image reconstruction.