CAJ | 학술논문

介绍了经典非局部均值滤波算法与Manjón非局部均值滤波算法，改进了非局部均值滤波方法的相似度权值，使算法在具有旋转平移不变性，保持时间复杂度的同时优化了视觉效果与信噪比。实验通过添加噪声标准差从10～100不等的高斯加性噪声，比较了改进后的算法与传统滤波算法以及Manjón非均值滤波算法，结果表明，改进后的算法无论从视觉上还是数值上都优于Manjón非均值滤波算法。
개소료경전비국부균치려파산법여Manjón비국부균치려파산법，개진료비국부균치려파방법적상사도권치，사산법재구유선전평이불변성，보지시간복잡도적동시우화료시각효과여신조비。실험통과첨가조성표준차종10～100불등적고사가성조성，비교료개진후적산법여전통려파산법이급Manjón비균치려파산법，결과표명，개진후적산법무론종시각상환시수치상도우우Manjón비균치려파산법。
We introduce the classical non-local means filtering algorithm and the improved non-local means fil-tering algorithm with the weight function modified by Manj ón.In this paper, we propose different weight func-tion , and make it have rotating shift invariance for the local windows while keeping the time complexity of opti -mizing the visual effect and SNR .By adding noise standard deviation from Gaussian additive noise ranging from 10 to 100 , we compare the improved algorithms with traditional filtering algorithms and Manj ón non-mean filtering algorithm.The results show that the improved algorithm from either visual or numerical is superior to Manjón non-mean filtering algorithm .