Veni.S and K.A.Narayanankutty
Image Enhancement of Medical Images using Gabor Filter Bank on Hexagonal Sampled Grids
853 - 858
2010
4
5
International Journal of Electronics and Communication Engineering
https://publications.waset.org/pdf/13155
https://publications.waset.org/vol/41
World Academy of Science, Engineering and Technology
For about two decades scientists have been
developing techniques for enhancing the quality of medical images
using Fourier transform, DWT (Discrete wavelet transform),PDE
model etc., Gabor wavelet on hexagonal sampled grid of the images
is proposed in this work. This method has optimal approximation
theoretic performances, for a good quality image. The computational
cost is considerably low when compared to similar processing in the
rectangular domain. As Xray images contain light scattered pixels,
instead of unique sigma, the parameter sigma of 0.5 to 3 is found to
satisfy most of the image interpolation requirements in terms of high
Peak SignaltoNoise Ratio (PSNR) , lower Mean Squared Error
(MSE) and better image quality by adopting windowing technique.
Open Science Index 41, 2010