Efficient adaptive mean filtration technique in denoising of medical imaging
Abhijit M. Vispute, Baban U. Rindhe, Dipshri N. Shekokar · 2016
Medical imaging found to be interesting area for researchers & physicians for telemedicine. Such images are highly affected by noise from medical equipments like CTscan, ultrasound or MRI system. Impulse noise is mostly common type of noise interfaced with images. Denoising techniques like mean & median filtration are most used techniques to remove impulsive noise. Recently spatial adaptive masking is used to filter out high density impulse noise. This paper presents comparative results of some previously adapted mean & median filtration techniques for denoising of impulsive noise in medical images. Here we also propose a new technique in spatial adaptive masking filtration with improved PSNR of at least 2% for noise variance from 0.1 to 1. MSE values also reduced to significant level.