TY  - JOUR
T1  - Adaptive Window Based Multi Stage Impulse Noise Detection for
Removal of Random Valued Impulse Noise in Digital Images
AU - Ashok, K. AU - Vijaykumar, V.R. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 3
SP  - 635
EP  - 638
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.635.638
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.635.638
KW  - Random Valued Impulse Noise (RVIN)
KW  -image denoising
KW  -adaptive threshold
KW  -image restoration
KW  -peak signal
AB  - Image denoising has an increasing importance in digital image processing as digital images are
usually corrupted by different noises during amplification and transmission. Impulse noises are added due to
the errors in the transmission channel and sensors in the path. In this study, a new method for the removal of
Random Valued Impulse Noise (RVIN) is proposed. The entire process includes noise pixel detection and
denoising. corrupted pixels are detected in the four steps and the median filtering is applied for this noisy pixels.
In each step noisy pixels are detected based on the pre-defined threshold values and median filtering is applied
in each step. Noisy pixels are removed in the successive steps. The simulation results show that the proposed
method shows better performance over compared algorithms both in terms of peak signal to noise ratio and
mean absolute error.
ER  -