Implementing Blind De-convolution with Weights on X-ray Images for Lesser Ringing Effect

Abstract

Abstract-X-rays and other medical images are distorted because of the limitations of the Imaging system. The other source from where the distortions get in are the transmission channels. The distortions are generally noise and blur. Unless and until the medical images are free of noise and blur they cannot be used by medical professionals to the full extent for diagnosis purpose. Therefore these images must be restored properly before they are used for diagnosis purpose. There are different restoration techniques out of which one is Blind Image Deconvolution. X-ray images restored with this technique have ringing effect in them. Using edgetaper (matlab function) prior to Blind Image Deconvolution reduces the ringing effect to an extent. This paper presents Blind Deconvolution algorithm with weights which gives lesser ringing effect in X-ray images when they are restored.

Exploring protective window through the lens of image restoration techniques

“…To restore the corrupted image to its original state, image restoration techniques are applied [4] . A number of restoration procedures exist, one of which is Blind Image DE convolution, which results in X-ray images that have a ringing appearance when restored [5] . Long-range correlation for image restoration was also suggested by some researchers [6] .…”