计算机技术与发展Issue(5)：83-85,3.DOI:10.3969/j.issn.1673-629X.2013.05.021
基于数学形态学的提升小波图像去噪
Lifting Wavelet Image De-noising Based on Mathematical Morphology
摘要
Abstract
Image denoising is very important part of image researching,it’s effect influences behind the image analysis directly. Lifting wavelet transform denoising can be better denoising,at the same time,can well keep the edge of the image,but the image denoising smoothing degree is not very ideal;mathematical morphology filtering can get very good smoothness,but at the same time more greatly increase the fuzzy of image denoising. In order to denoise and get better image quality,combined with lifting wavelet and mathematical morphology in image denoising of advantages,a lifting wavelet image denoising method based on mathematical morphology was presen-ted. Experimental data and results show that the algorithm is better than the denoising effect respectively;therefore,the algorithm could not only effectively improve the image quality,but also improve the peak value signal-to-noise ratio,and make the image clearer.关键词
数学形态学/提升小波/图像去噪Key words
mathematical morphology/lifting wavelet/image de-noising分类
信息技术与安全科学引用本文复制引用
林德贵,曾健民..基于数学形态学的提升小波图像去噪[J].计算机技术与发展,2013,(5):83-85,3.基金项目
福建省教育厅资助项目(JB11214) （JB11214）
