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Adaptive filtering for image enhancement and noise reduction in computed tomography images

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Computed Tomography (CT) is being increasingly utilised as a powerful tool for advanced Non-Destructive Testing and Evaluation (NDT&E) applications. CT images reconstructed from the attenuation datasets, particularly in the frst and second generation CT systems, are prone to various noise and artefacts; hence, a need exists to explore post-fltering options with an aim of image enhancement and noise reduction. However, this has to be achieved in such a way that the basic features and edges are not lost in the processing.

In the present work, 2-D adaptive fltering has been applied and studied in comparison with conventional non-adaptive centred averaging fltering for various CT images. Adaptive flters have been implemented by computing the central pixel value using neighbourhood centred averaging and subsequently applying the adaptive correction on each pixel using the local variance and overall noise variance estimates. The paper highlights the results of non-adaptive and adaptive fltering on various CT images. Adaptive fltering has been found to provide excellent results for noise reduction and image enhancement of CT images, without losing information of edges, boundary and feature details.
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Keywords: Adaptive fltering; image processing; tomography imaging

Document Type: Research Article

Affiliations: Nuclear Radiation Management & Applications Division, Defence Laboratory, Jodhpur 342011, India. nisheetsyahoo.com, Tel: 91-291-2510641, Fax: 91-291-2511191

Publication date: January 1, 2008

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