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dc.contributor.authorVorapoj Patanavijit
dc.identifier.citationProceeding 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 2016en_US
dc.description.abstractIn 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.en_US
dc.format.extent6 pagesen_US
dc.subjectImage reconstructionen_US
dc.subjectMedian filteren_US
dc.subjectPartition weighted sum filteren_US
dc.subjectVector quantizationen_US
dc.titleAn Alternative Technique using Median Filter for Image Reconstruction based on Partition Weighted Sum Filteren_US
dc.rights.holderVorapoj Patanavijiten_US
mods.genreProceeding Paperen_US[Full Text] (

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