计算机科学 ›› 2018, Vol. 45 ›› Issue (11): 278-282.doi: 10.11896/j.issn.1002-137X.2018.11.044
陈鹏, 张建伟
CHEN Peng, ZHANG Jian-wei
摘要: 传统的非线性扩散滤波方法在图像去噪时使用传统的梯度算子,易导致细节缺失。针对该缺点,以非线性偏微分方程和图像结构信息为基础,构造一类带有自适应权值的非线性扩散滤波去噪方式。这种方式选用多方向的拉普拉斯算子模板,结合核函数,自适应地调节权重系数;利用非局部信息选取合适的搜索窗宽,以减小图像噪声的影响。实验证明,该方法既能较好地保存图像纹理细节,又可以达到很好的去噪效果。
中图分类号:
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