ICCIC 2011: Innovative Computing and Information pp 550-557 | Cite as
Combined Noise Reduction in CT-Image Based on Adaptive Median Filter and Wavelet Packet
Abstract
Computed tomography (CT), as an import medical supplementary means, may be corrupted by various noises and result in clinical diagnosis reliability reduction. In this paper, considering CT-image simultaneously corrupted by Salt & Pepper noise and Gaussian white noise, we present an effective CT-image combined denoising algorithm based on adaptive median filter (AMF) and wavelet packet threshold shrinkage (APTS). The algorithm exploits AMF Salt & Pepper noise efficient suppressing and better structure-preserving property than traditional median filter. Meanwhile, it also utilizes more refined analysis characteristic and higher time-frequency resolution of wavelet packet transform than wavelet to decrease the probability mistaking image information as noise. The experimental results show that the proposed scheme effectively reduces hybrid noise, and furthermore possible preserve clinically relevant image contents.
Keywords
combined noise reduction CT-image Salt & Pepper noise Gaussian white noise adaptive median filter Wavelet packet transformPreview
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