scholarly journals A New Method of Image Fusion Technique for Impulse Noise Removal in Digital Images using the quality Assessment in Spatial Domain

2013 ◽  
Vol 5 (3) ◽  
pp. 31-34
Author(s):  
Ajay kumar Beesetti Ajay kumar Beesetti
Keyword(s):  
Image Fusion ◽  
Quality Assessment ◽  
Impulse Noise ◽  
Digital Images ◽  
Noise Removal ◽  
Spatial Domain ◽  
New Method ◽  
Fusion Technique ◽  
Impulse Noise Removal ◽  
Image Fusion Technique

scholarly journals A New Spatial Domain Filter for Impulse Noise Removal with Improved Accuracy Based on Multiple Conditions

2020 ◽  
Vol 9 (4) ◽  
pp. 1305-1309
Keyword(s):  
Impulse Noise ◽  
Signal To Noise Ratio ◽  
Median Filter ◽  
Noise Removal ◽  
Spatial Domain ◽  
Median Filtering ◽  
Impulse Noise Removal ◽  
Noise Density ◽  
Improved Accuracy ◽  
Multiple Conditions

Numerous filtering methods are proposed for Impulse noise removal, it is an important task in the field of image restoration. The familiar spatial domain algorithm to remove impulse noise is Standard Median Filter (SMF). Most of the existing algorithms are based on median filtering and recent algorithms are Modified Hybrid Median Filter (MHMF) and New Modified Hybrid Median Filter (NMHMF). These two are worked up to 20% noise density. In this paper proposed a new` algorithm for impulse noise removal above 20% noise density conditions with different samples of images. The implementation of proposed method compares with known existing methods by comparing Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR).

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