滤波器(信号处理)
散斑噪声
光学
斑点图案
计算机科学
噪音(视频)
物理
空间滤波器
自适应滤波器
滤波器设计
中值滤波器
图像质量
人工智能
全息术
空间频率
作者
Kai Chen,Li Chen,Jiaqi Xiao,Jinyang Li,Yihua Hu,Kunhua Wen
摘要
This Letter presents a non-local means filter based on the Pearson correlation coefficient and Butterworth high-pass filter. In the method, the new gray value of the denoising pixel is equal to the weighted sum of the surrounding pixel values. We use the Pearson correlation coefficient between the pixels to calculate the weight of the surrounding pixels to the denoising pixel, then use Butterworth high-pass filter to optimize. Experimental results show that the method effectively reduces the speckle noise of digital holography and the image details are also very rich. At the same time, its performance is still better when compared with methods such as BM3D.
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