摘要: 证明一种高阶各向异性扩散与小波收缩的等价性,并根据等价性利用高阶各向异性扩散与小波收缩的优势,提出高阶各向异性扩散小波收缩降噪算法。该算法在低频部分采用经典的非线性扩散方法进行扩散,在高频部分采用高阶各向异性扩散方法进行小波收缩。实验结果表明,高阶各向异性扩散小波收缩算法的计算复杂性介于高阶各向异性扩散与小波收缩算法之间,降噪能力高于这2种方法。
关键词:
图像降噪,
高阶各向异性扩散,
小波收缩
Abstract: This paper proves the equivalency between a high-order anisotropic diffusion and wavelet shrinkage. Based on the equivalency, it puts forward the high-order anisotropic diffusion wavelet shrinkage image denoising algorithm utilizing the advantage of high-order anisotropic diffusion and wavelet shrinkage respectively. In the algorithm, it adopts the classic nonlinear diffusion method(PM) to process the low frequency part, diffuse the high frequency part using high order anisotropic diffusion to shrink the wavelet coefficient. Experimental results show that the computational complexity of high-order anisotropic diffusion wavelet shrinkage algorithm is less than the high-order anisotropic diffusion and more than wavelet shrinkage, the denoising ability is better than the two algorithms.
Key words:
image denoising,
high-order anisotropic diffusion,
wavelet shrinkage
中图分类号:
朱景福;黄凤岗. 高阶各向异性扩散小波收缩图像降噪算法[J]. 计算机工程, 2009, 35(5): 209-211,.
ZHU Jing-fu; HUANG Feng-gang. High-order Anisotropic Diffusion Wavelet Shrinkage Image Denoising Algorithm[J]. Computer Engineering, 2009, 35(5): 209-211,.