Removing Salt and Pepper Noises in Digital Images Using Radial Basis Functions
Qian Wang · Optics & Optoelectronic Technology · 2012
Removing salt and pepper noises in digital images can be converted to reconstruction of 2-dimensional surface.This method selects multi-quadric function to build interpolation of missing information in images,automatically selects interpolation points and referenced points,and solves the interpolation equations to get the processed images.The experiments shows that this method is able to remove almost,even all noises with little damage to details of images.Also,it is able to restore more information when the noise rate is very high.While processing the Lena images with 50% and 90% salt and pepper noises,the result of this method is 6 dB higher than which of adaptive median filter in SNR.