中文摘要：

夜景图像由于照度较低且长时间曝光往往混有噪声。针对传统增强算法对其进行处理时无法避开噪声点而导致视觉效果不佳的问题,本文提出了一种基于改进的加权均值检测夜景图像增强算法。算法通过加权均值检测标记出图像中的噪声点,然后使用基于RGB灰度值变换的增强算法对所有非噪声的像素点进行处理,最后用近邻插值法来替换原图像噪声点所在位置的灰度值。大量实验结果表明,本文算法可以在去除噪声的同时较好地保持原始图像的细节边缘特征,总体性能优于现有的算法。

英文摘要：

Night scene images are often mixed with noise due to low illuminance and prolonged exposure. In order to solve the problem that the noise effect can not be avoided by dealing with the traditional enhancement algorithm, the paper proposes an night image enhancement algorithm based on improved weighted mean value detection. The algorithm uses the weighted mean to detect the noise in the image, and then uses the enhancement algorithm based on the RGB gray value conversion to deal with all the non-noise pixels. Finally, the nearest neighbor interpolation method is used to replace the gray level of the original image noise point. The experimental results show that the proposed algorithm can keep the details of the original image while removing the noise, and the overall performance is better than the existing algorithm.