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图像的平移不变量小波去噪法及其应用
Image Translation Invariant Wavelet-denoising Method and Its Applications
【摘要】 图像的平移不变量小波去噪法是小波收缩阈值去噪法的改进,能够有效抑制小波阈值去噪过程中出现的伪吉布斯现象.分析了图像的平移不变量小波去噪法的原理及其算法,并将该方法应用于颗粒显微图像的去噪.对采用不同去噪方法的图像按照分水岭算法进行分割,然后进行对比.实验结果表明图像的平移不变量小波去噪法的去噪效果较好。
【Abstract】 Translation invariant(TI)wavelet de-noising method is an improved method of wavelet thresholding shrinks;it can suppress Pseudo-Gibbs artifacts effectively.The theory and algorithm of TI wavelet de-noising method are analyzed in this paper.The same microscopic particle image is de-noised by the proposed method and two conventional methodsand the de-noised images are segmented with watershed algorithm.Comparison tests show that the method of TI wavelet de-noising method is better than others.
【关键词】 平移不变量;
小波收缩;
伪吉布斯现象;
颗粒图像;
【Key words】 translation invariant; wavelet shrink; Pseudo-Gibbs artifacts; particle image;
【Key words】 translation invariant; wavelet shrink; Pseudo-Gibbs artifacts; particle image;
【基金】 河海大学常州校区科技创新基金资助项目(05B002-04)
- 【文献出处】 河海大学常州分校学报 ,Journal of Hohai University Changzhou , 编辑部邮箱 ,2006年04期
- 【分类号】TN911.73
- 【被引频次】10
- 【下载频次】291