Removing of Salt-and-pepper Noise in Images Based on Adaptive Median Filtering and Improved Threshold Function

被引：0
|
作者：
Qian, Ying [1 ]
机构：
[1] North Minzu Univ, Coll Elect & Informat Engn, Yinchuan 750021, Ningxia, Peoples R China
来源：
PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年
关键词：
Salt-and-pepper noise; Median filtering; Combined denoising; Improved threshold function; Adaptive median filtering;
D O I：
10.1109/ccdc.2019.8832612
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
AMF-WT algorithm, based on adaptive median filtering and an improved threshold function, is proposed in this paper. After salt-and-pepper noise is removed from the image by adaptive median filtering. two-level wavelet decomposition is done on the image. The high frequency coefficients are denoised with the improved threshold function designed in this paper, then reconstructed with low frequency coefficients. MATLAB simulations show that AMF-WT algorithm is superior to adaptive median filter and median filter in eliminating salt-and-pepper noise. The improved threshold function designed has better denoising effect than hard threshold function and soft threshold function. AMF-WT algorithm can be applied to practical image denoising.
引用
收藏
页码：1431 / 1436
页数：6
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