计算机工程与应用2012，Vol.48Issue(34)：195-198,4.DOI:10.3778/j.issn.1002-8331.1105-0130
基于一种新小波变换的OCT图像去噪方法
Denoising method for OCT image based on combination of wavelet tranform with wiener filtering
摘要
Abstract
Speckle phenomenon is both as an information carrier and as noise resource in OCT image. According to this characteristics, a new image denoising method is presented by combining wavelet transform and wiener filter in this paper. OCT image is decomposed to four frequency sub-band images by wavelet tranform, among the different-band images, the three hight frequency sub-band images are denoised by Wiener filter, while keeps the low frequency image without any change, the three hight frequency detail images with Wiener filter and low frequency image are composed. The experimental results show this method is effective.关键词
光学相干层析成像图像去噪/小波变换/维纳滤波Key words
Optical Coherence Tomogrphy(OCT) images denoising/ wavalet transform/ Wiener filtering分类
信息技术与安全科学引用本文复制引用
朱英俊,杨勇,郑兴华,张雯..基于一种新小波变换的OCT图像去噪方法[J].计算机工程与应用,2012,48(34):195-198,4.基金项目
国家自然科学基金资助项目(No.30770685). （No.30770685）
