基于Ridgelet变换的自适应软硬折衷图像去噪算法  

The Application of Image Denoising Based on Ridgelet Transform

作　　者：杨国梁[1] 陈雷[1] 王亚文[1] 

机构地区：[1]西安工业大学计算机学院,西安710032

出　　处：《湖南理工学院学报（自然科学版）》2008年第3期31-33,共3页Journal of Hunan Institute of Science and Technology(Natural Sciences)

摘　　要：给出了Ridgelet变换的概念及其实现算法,将Ridgelet应用于图像去噪,并提出了基于Ridgelet变换域的软硬阈值折衷去噪法,并采用不同的阈值自适应地对不同的Ridgelet子带进行阈值化.实验结果表明该方法优于小波图像去噪方法.the method between soft and hard thresholding image denoising approach in curvelet domain is proposed, and the curvelet transform coeffi-cients in different subbands are filtered with adaptive thresholds. In order to indicate its advantages, we use ridgelet to remove noises in images, and compare the results with that of wavelet.

关 键 词：Wavelet变换 RADON变换 RIDGELET变换 图像去噪 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]