摘要
传统的低通滤波去噪算法在滤除噪声的同时会使图像边缘模糊.为了更好地保留图像的边缘信息,该文提出了一种保留具有较大模值的Fourier变换系数的非线性滤波方法.实验结果表明,该算法在滤除噪声的同时还能较好地保留图像的边缘信息.
Although the traditional linear filtering in frequency domain can reduce noise, it also blurs the edge details. In this paper, we propose a non-linear filtering algorithm, which denoises image through containing the big module coefficients in the frequency domain. Experiment resuct shows that this new algorithm can preserve the image details as well as remove image noise.
出处
《江西师范大学学报(自然科学版)》
CAS
2004年第3期248-251,共4页
Journal of Jiangxi Normal University(Natural Science Edition)