基于双重滤波与锐化的遥感图像增强算法

为了解决遥感卫星影像普遍存在着亮度、对比度低的问题，提出了基于滤波与锐化的遥感图像增强算法。首先，根据线性运算中核矩阵像素权值特性，设计基于中值滤波与高斯滤波的图像滤波算子。然后，采用图像一阶导数逼近技术，计算图像强度梯度，并采用图像二阶导数计算梯度的散度，从而建立基于Sobel与Laplacian的图像锐化增强算子，以增强图像对比度。最后，基于非局部均值算法，完成图像去噪，实现遥感图像平滑增强的目的。实验测试结果表明，与当前遥感图像增强技术相比，本算法拥有更高的增强质量，更好地保留了图像的亮度与色度信息。

Remote sense image enhancement algorithm based on filtering and sharpening

In order to solve the problems of low brightness and low contrast in multispectral satellite images, a remote sensing image enhancement algorithm based on filtering and sharpening is proposed. First of all, according to the linear computation kernel matrix pixel weight characteristics, design of image filtering median filter and Gauss filter based on enhanced operator. Then the first order derivative approximation is used to calculate the intensity gradient, and the gradient of the image is calculated by using the two derivative of the image. Then the image sharpening operator based on Sobel and Laplacian is established. Finally, based on the non local mean algorithm, the image denoising is completed to achieve the purpose of remote sensing image smoothing and enhancement. The experimental results show that: compared with the current remote sensing image enhancement technology, the algorithm has a higher enhancement effect, and better preserves the image brightness and chrominance information