Denoising Of Computer Tomography Images Using Wavelet Based Multiple Thresholds Switching

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Denoising of Computer Tomography images using Wavelet based Multiple Thresholds Switching (WMTS) filter

Mayank Chakraverty1 *, Ritaban Chakravarty2, Vinay Babu3 and Kinshuk Gupta4

1Semiconductor Research & Development Center, IBM, Bangalore, Karnataka, India
2New Jersey Institute of Technology, NJ, USA
3 Invntree, Bangalore, Karnataka, India
4 Indian Space Research Organization (ISRO) Satellite Centre, Bangalore, Karnataka, India
1nanomayank@yahoo.com, 2ritaban.87@gmail.com, 3vinaygbabu@gmail.com, 4kinshuk.chandigarh@gmail.com

ABSTRACT Computer Topography images are often corrupted by salt and pepper noise during image acquisition and /or transmission, reconstruction due to a number of non-idealities encountered in image sensors and communication channels. Noise is considered to be the number one limiting factor of CT image quality. A novel decision-based filter, called the wavelet based multiple thresholds switching (WMTS) filter, is used to restore images corrupted by salt-pepper impulse noise. The filter is based on a detection-estimation strategy. The salt and pepper noise detection algorithm is used before the filtering process, and therefore only the noise-corrupted pixels are replaced with the estimated central noise-free ordered mean value in the current filter window. The new impulse detector, which uses multiple thresholds with multiple neighborhood information of the signal in the filter window, is very precise, while avoiding an undue increase in

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