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Homomorphic Filtering of Speckle Noise From Computerized Tomography (CT) Images Using Adaptive Centre-Pixel-Weighed Exponential Filter
Martin Chinweokwu Eze, Ogechukwu N. Iloanusi, Uche A. Nnolim, Charles C. Osuagwu
Pages - 455 - 467 | Revised - 01-12-2014 | Published - 31-12-2013
Published in International Journal of Image Processing (IJIP)
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KEYWORDS
Adaptive Filter, Exponential Filter, Speckle Noise, Homomorphic Filtering, CT Image, Centre-pixel, Centre-pixel-weighed.
ABSTRACT
Adaptive filters are needed to accurately remove noise from noisy images when the variance of noise present varies. Linear filter such as Exponential filter becomes effective in removing speckle noise when homomorphic filtering technique is used. In this paper, an Adaptive Centre- Pixel-Weighed Exponential Filter for removing speckle noise from CT images was developed. The new filter is based on varying the centre-pixel of the filter kernel based on the estimated speckle noise variance present in a noisy CT image. Ten samples of 85x73 CT images corrupted by speckle noise level ranging from 10% to 30% were considered and the new technique gave a reasonably accurate speckle noise filtering performance with an average Peak Signal to Noise Ratio (PSNR) of 70.2839dB compared to 69.0658dB for Wiener filter and 64.3711dB for the Binomial filter. The simulation software used in the paper is Matrix Laboratory (Matlab).
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Mr. Martin Chinweokwu Eze
Department of Electronic Engineering
Faculty of Engineering
University of Nigeria
Nsukka, 410001 - Nigeria
martin.eze@unn.edu.ng
Mr. Ogechukwu N. Iloanusi
Department of Electronic Engineering Faculty of Engineering University of Nigeria Nsukka, 410001, Nigeria - Nigeria
Mr. Uche A. Nnolim
Department of Electronic Engineering Faculty of Engineering University of Nigeria Nsukka, 410001, Nigeria - Nigeria
Mr. Charles C. Osuagwu
Department of Electronic Engineering Faculty of Engineering University of Nigeria Nsukka, 410001, Nigeria - Nigeria
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