电子科技2024，Vol.37Issue(7)：81-88,8.DOI:10.16180/j.cnki.issn1007-7820.2024.07.011
基于正余弦分解的两分段自适应非局部均值滤波方法
A Two-Stage Adaptive Non-Local Mean Filtering Method Based on Sine-Cosine Decomposition
摘要
Abstract
In order to solve the problem of speckle noise in the wrapped phase diagram,a two-stage adaptive non-local mean filtering method based on sine and cosine decomposition is proposed.The proposed method realizes the adaption of the algorithm by improving the size and similarity measurement of the attenuation parameters twice.This method is used to denoise the sine and cosine components of the wrapped phase diagram.After denoising,the inverse tangent operation is used to obtain the clean wrapped phase,and unwrapping operation is carried out on the phase.The experimental and simulation results show that the proposed method not only effectively removes the noise in the wrapped phase diagram,but also preserves the edge information in the phase diagram.Compared with SCA(Sine Cosine Algorithm)method and BM3D(Block-Matching and 3D filtering)method,ENL(Equivalent Number of Looks)and SSI(Speckle Suppression Index)of the image denoised by the proposed method are the largest and the smallest,and the mean square error is increased by about two times.These results reveal that the proposed method can effectively remove the noise in the wrapped phase and improve the accuracy of phase unwrapping.关键词
包裹相位/散斑噪声/正余弦分解/两分段/相似性度量/自适应化/非局部均值/相位解包裹Key words
wrapped phase/speckle noise/sine cosine decomposition/two sections/similarity measure/adap-tive/non-local mean/phase unwrapping分类
数理科学引用本文复制引用
孙玉娟,王亚伟,汤馥睿,耿芫,李雨晨,徐媛媛..基于正余弦分解的两分段自适应非局部均值滤波方法[J].电子科技,2024,37(7):81-88,8.基金项目
国家自然科学基金(11874184)National Natural Science Foundation of China(11874184) （11874184）
