关键词: 图像去噪, 非局部均值, 新余弦函数, 核函数, 邻域相似函数

Abstract: Due to the unreasonable problem of the weights assigned in the traditional non-local means algorithm, based on the Gaussian kernel, it combines a new cosine function to improve kernel function. Aiming at the problem of inaccurate judgments of the neighborhood similarity in this paper, similar function is introduced to measure the similarity of neighborhood grayscale matrices of the image, making the allocation algorithm in weight has been significantly improved. The experimental results show that, under different noise, improved non-local means algorithm significantly improves the de-noising performance.

Key words: image de-noising, non-local means, new cosine function, kernel function, neighborhood similar function