scholarly journals Removal of High Density Impulse Noise using Efficient Median Filter for Digital Image

2015 ◽  
Vol 115 (5) ◽  
pp. 25-31
Author(s):  
Trapti Soni ◽  
Narendra Rathor
Keyword(s):  
Digital Image ◽  
Impulse Noise ◽  
Median Filter ◽  
High Density

scholarly journals High Density Impulse Noise Removal using Advanced Median Filter for Preserving Image Quality Metrics

2019 ◽  
Vol 8 (4) ◽  
pp. 11909-11914
Keyword(s):  
Image Quality ◽  
Impulse Noise ◽  
Signal To Noise Ratio ◽  
Median Filter ◽  
Noise Removal ◽  
Quality Metrics ◽  
High Density ◽  
Image Quality Metrics ◽  
Neighboring Pixel ◽  
Salt And Pepper

In this work, a procedure to remove the high density salt and pepper noise from a corrupted image is developed and to compare the output image with the original image through the image quality metrics. As a common practice the corrupted pixels are replaced by the median of neighboring pixel values by considering a constant number of neighboring pixels. But in this proposed method the corrupted pixels are identified and are replaced by the median of the neighboring pixel values which are adjustable, to preserve and improve the image quality metrics. This method makes a comparison between the corrupted and uncorrupted pixels and performs the median filtering process only on the corrupted ones. In this work a 3x3, 5x5 and 7x7 square neighborhood are used. The output images are observed with low neighborhood as well as high neighborhood pixel values. The calculation of PSNR (Peak Signal to Noise Ratio) and MSE (Mean square error) value for each dimension with different percentages are considered for the comparative analysis

Combination of adaptive vector median filter and weighted mean filter for removal of high-density impulse noise from colour images

2017 ◽  
Vol 11 (6) ◽  
pp. 352-361 ◽  
Author(s):  
Amarjit Roy ◽  
Joyeeta Singha ◽  
Lalit Manam ◽  
Rabul Hussain Laskar
Keyword(s):  
Impulse Noise ◽  
Median Filter ◽  
High Density ◽  
Weighted Mean ◽  
Mean Filter ◽  
Vector Median
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