Selective weights based median filtering approach for impulse noise removal of brain MRI images

Author(s):  
K. V. Sudheesh ◽  
L. Basavaraj

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).


2010 ◽  
Vol 23 (1) ◽  
pp. 151-165
Author(s):  
Dae-Geun Lee ◽  
Min-Jae Park ◽  
Jeong-Uk Kim ◽  
Do-Yoon Kim ◽  
Dong-Wook Kim ◽  
...  

2016 ◽  
Vol 36 (3) ◽  
pp. 1192-1223 ◽  
Author(s):  
T. Veerakumar ◽  
Ravi Prasad K. Jagannath ◽  
Badri Narayan Subudhi ◽  
S. Esakkirajan

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