共 21 条
[21]
Yanai H, 2011, STAT SOC BEHAV SC, P1, DOI 10.1007/978-1-4419-9887-3
Modified tropical algebra based median filter for removing salt and pepper noise in digital image
被引：8
作者：
Abdurrazzaq, Achmad
[1
]
Mohd, Ismail
[2
]
Junoh, Ahmad Kadri
[1
]
Yahya, Zainab
[1
]
机构：
[1] Univ Malaysia Perlis, Inst Engn Math, Kampus Pauh Putra, Arau 02600, Perlis, Malaysia
[2] Univ Putra Malaysia, Lab Computat Stat & Operat Res, Inst Math Res, Upm Serdang 43400, Selangor, Malaysia
关键词：
singular value decomposition;
filtering theory;
image denoising;
median filters;
algebra;
digital image;
information damage;
transmission process;
filtering process;
filtering algorithm;
low level noise;
SVD;
tropical operations;
modified tropical algebra;
median filter;
salt;
pepper noise;
D O I：
10.1049/iet-ipr.2018.6201
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ;
0812 ;
0835 ;
1405 ;
摘要：
Noise is the information damage that may occur in the image due to the changes in information during the transmission process. In order to overcome these problems, it is necessary to do filtering process on the image. Until now many filtering algorithms have been proposed to remove noise. Most existing methods only work for low level noise. In this study, the authors proposed an efficient and easy-to-understand filtering algorithm using the concept of tropical algebra and singular value decomposition (SVD). The SVD will be used to detect noise in 3 x 3 templates. Furthermore, if noise is detected then new pixels will be obtained by using the concept of tropical operations. The results of this study show that the proposed method provides better results from the existing methods in terms of quantitative and visual.
引用
收藏
页码：2790 / 2795
页数：6
相关论文