摘要
大多数的小波去噪方法都是基于图像小波幅度信息的,但对于低SNR图像来说,其小波域中的图像边缘信息被噪声掩盖,所以有人提出了对幅度不敏感的小波相位滤波算法,利用含噪图像分解后的相位信息来恢复图像,本文对这种算法作出了一些改进。在相位滤波的基础上,考虑Laplace邻域,试验结果表明比原算法效果好。
Most of the wavelet denoising methods available are based on magnitudes. However for the images with low SNR,the edges of the image in the wavelet domain are hidden in the noise,a wavelet phase filtering algorithm is presented, which is insensitive to the magnitude of image. The wavelet phase filtering algorithm restore image by phase coefficients. The algorithm is modified in this paper by using considered Laplace neighborhood besides phase informations,and the results prove it.
出处
《现代电子技术》
2006年第13期140-142,共3页
Modern Electronics Technique
关键词
小波变换
相位
图像处理
小波去噪
wavelet transform
phase
image processing
wavelet denoising
