A noncausal linear prediction based switching median filter for the removal of salt and pepper noise

2012 ◽  
Author(s):  
Bhabesh Deka ◽  
P. K. Bora
Keyword(s):  
Linear Prediction ◽  
Median Filter ◽  
Salt And Pepper Noise ◽  
Switching Median Filter ◽  
Salt And Pepper

scholarly journals Fuzzy Based Salt and Pepper Noise Removal Using Adaptive Switching Median Filter

2012 ◽  
Vol 38 ◽  
pp. 2858-2865 ◽  
Author(s):  
V. Thirilogasundari ◽  
V. Suresh babu ◽  
S. Agatha Janet
Keyword(s):  
Median Filter ◽  
Noise Removal ◽  
Salt And Pepper Noise ◽  
Switching Median Filter ◽  
Salt And Pepper

Adaptive Switching Median Filter Based on GA-BP Neural Network

2013 ◽  
Vol 753-755 ◽  
pp. 2980-2984
Author(s):  
Xiao Ling Ye ◽  
Yan Yan Dou ◽  
Bo Liu
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Digital Images ◽  
Median Filter ◽  
Poor Performance ◽  
Salt And Pepper Noise ◽  
Switching Median Filter ◽  
Image Pixels ◽  
Salt And Pepper ◽  
Image Details

For the poor performance of conventional filtering algorithms in removing salt and pepper noise from digital images under high noise density,an adaptive switching median filter algorithm based on BP neural network optimized by genetic algorithm (GA) is proposed to detect and remove salt and pepper noise from images. Firstly,the initial weights and thresholds of BP neural network are optimized by genetic algorithm.Then image pixels are devided into either signal or noise points by the trained network automatically. The detected noise points will be removed by adaptive switching median filter algorithm,but nothing to do with the signal points. Experiment results show that the proposed algorithm significantly outperforms the others and efficiently removes salt and pepper noise from digital images without distorting image details and textures .

Enhancing the Performance of One Dimensional Median Filter

2019 ◽  
Vol 118 (7) ◽  
pp. 73-76
Author(s):  
Sharanabasappa ◽  
P Ravibabu
Keyword(s):  
Impulse Noise ◽  
Rank Order ◽  
Median Filter ◽  
Filter Method ◽  
Salt And Pepper Noise ◽  
Edge Preservation ◽  
Word Level ◽  
Look Ahead ◽  
Filter Architecture ◽  
Salt And Pepper

Nowadays, during the process of Image acquisition and transmission, image information data can be corrupted by impulse noise. That noise is classified as salt and pepper noise and random impulse noise depending on the noise values. A median filter is widely used digital nonlinear filter  in edge preservation, removing of impulse noise and smoothing of signals. Median filter is the widely used to remove salt and pepper noise than rank order filter, morphological filter, and unsharp masking filter. The median filter replaces a sample with the middle value among all the samples present inside the sample window. A median filter will be of two types depending on the number of samples processed at the same cycle i.e, bit level architecture and word level architecture.. In this paper, Carry Look-ahead Adder median filter method will be introduced to improve the hardware resources used in median filter architecture for 5 window and 9 window for 8 bit and 16 bit median filter architecture.

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