An adaptive-size median filter for impulse noise removal using neural network-based detector

2016 ◽  
Vol 9 (4/5) ◽  
pp. 305
Author(s):  
R. Rashidha ◽  
Philomina Simon
Keyword(s):  
Neural Network ◽  
Impulse Noise ◽  
Median Filter ◽  
Noise Removal ◽  
Impulse Noise Removal

Impulse Noise Removal from Medical Images by Two Stage Quaternion Vector Median Filter

2018 ◽  
Vol 42 (10) ◽  
Author(s):  
P. Roji Chanu ◽  
Kh. Manglem Singh
Keyword(s):  
Impulse Noise ◽  
Medical Images ◽  
Median Filter ◽  
Noise Removal ◽  
Two Stage ◽  
Impulse Noise Removal ◽  
Vector Median

scholarly journals A Switching Weighted Adaptive Median Filter for Impulse Noise Removal

2011 ◽  
Vol 28 (9) ◽  
pp. 8-13 ◽  
Author(s):  
S. Kalavathy ◽  
R.M. Suresh
Keyword(s):  
Impulse Noise ◽  
Median Filter ◽  
Noise Removal ◽  
Impulse Noise Removal ◽  
Adaptive Median Filter

A new approach for high density saturated impulse noise removal using decision-based coupled window median filter

2013 ◽  
Vol 8 (1) ◽  
pp. 71-84 ◽  
Author(s):  
Vivek Singh Bhadouria ◽  
Dibyendu Ghoshal ◽  
Abul Hasan Siddiqi
Keyword(s):  
Impulse Noise ◽  
Median Filter ◽  
Noise Removal ◽  
High Density ◽  
New Approach ◽  
Impulse Noise Removal

Decision Based Median Filter algorithm using Resource Optimized FPGA to Extract Impulse Noise

2014 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Rutuja Nandkumar Kulkarni ◽  
Pradip C Bhaskar
Keyword(s):  
Impulse Noise ◽  
Median Filter ◽  
Noise Removal ◽  
Mean Value ◽  
Linear Filter ◽  
Noise Detection ◽  
Object Boundary ◽  
Typical Application ◽  
Impulse Noise Removal ◽  
Noisy Pixel

Median filter is a non-linear filter used in image processing for impulse noise removal. It finds its typical application in the situations where edges are to be preserved for higher level operations like segmentation, object recognition etc. This paper presents an accurate and efficient noise detection and filtering algorithm for impulse noise removal. The algorithm includes two stages: noise detection followed by noise filtering. The proposed algorithm replaces the noisy pixel by using  median value when other pixel values, 0’s or 255’s are present in the selected window and when all the pixel values are 0’s and 255’s then the noise pixel is replaced by mean value of all the elements present in the selected window. Similarly algorithm checks for five different conditions to preserve image details, object boundary in high level of noise densities. This median filter was designed, simulated and synthesized on the Xilinx family of FPGAs (XC3S500E of Spartan-3E). The VHDL was used to design the above 2-D median filter using ISE (Xilinx) tool & tested & compared for different grayscale images.

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