Image Denoising With Linear and Non-linear Filters

被引:0
|
作者
Ahamed, B. Bazeer [1 ]
Yuvaraj, D. [2 ]
Priya, S. Shanmuga [3 ]
机构
[1] Al Musanna Coll Technol, Dept Informat Technol, Muladdah, Oman
[2] Cihan Univ Duhok, Dept Comp Sci, Duhok, Kurdistan Regio, Iraq
[3] MIET Engn Coll, Dept Comp Sci, Trichy, India
关键词
Image Denoising; Salt and Pepper Noise; Gaussian Noise; Median filter; Weiner filter;
D O I
10.1109/iccike47802.2019.9004429
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A very huge part of computerized picture preparing is given to image restoration. Picture denoising is the governor of the picture information to deliver an outwardly excellent picture. Distinctive commotion models incorporate filter as added substance and multiplicative sort. They consolidate Gaussian disturbance, salt and pepper clamor, Brownian commotion and spot filter. De noising calculation is application subordinate for example the utilization of a particular channel is useful against a particular sort of clamor. In this paper, the separating approach has been nominated when the picture is ruined with salt and pepper noise. There are different channels that can expel the commotion from pictures and save picture subtleties. By and large various channels are utilized for disposing of various commotions like Mean channel evacuates the motivation noise, Median filter removes "salt and pepper" noise and Weiner channel evacuates noise that has tainted a sign. It depends on a factual methodology. we have advised that Median filter delivers best results against impulsive noise.
引用
收藏
页码:806 / 810
页数:5
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