Implementing Blind De-convolution with Weights on X-ray Images for Lesser Ringing Effect
Автор: Suneet Gupta, Rabins Porwal
Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp
Статья в выпуске: 8 vol.8, 2016 года.
Бесплатный доступ
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.
Blind Image Deconvolution, Lucy-Richardson technique, Point Spread Function, edge taper, ringing effect, dilation, edge content
Короткий адрес: https://sciup.org/15014004
IDR: 15014004
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