An Alternative Technique using Median Filter for Image Reconstruction based on Partition Weighted Sum Filter
An Alternative Technique using Median Filter for Image Reconstruction based on Partition Weighted Sum Filter
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2016-06
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eng
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application/pdf
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6 pages
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Proceeding of The 13th Annual International Conference of Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2016), ECTI Association Thailand, Chiang Mai, Thailand, June 2016
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Abstract
In this paper, we propose an alternative technique
for image reconstruction which it is combined existing methods
for better performance in spatial domain using the median
(MED) filter based on partition weighted sum (PWS) filter. Four
noise models are considered including additive white Gaussian
noise (AWGN), poission noise (PN), salt and pepper noise (SPN)
and speckle noise (SN) under different image types such as aerial
image, face image, scenic image, and text image. The simulation
results show that the median based partition weighted sum
(MPWS) filter provides better results than the MED and PWS
filters in case of AWGN and SPN when the noise probability is
not less than 20% for all image types. However, this filter takes
longer average simulation time than the MED and PWS filters.