Autors: Draganov, I. R., Gancheva, V. S.
Title: Optimizing the Non-local Means Filtering of CT Images
Keywords: CT image, Additive White Gaussian Noise, Non-local Filter

Abstract: In this paper a general optimizing procedure is proposed for the non-local means (NLM) filter. It involves finding the optimal degree of smoothing, the size of the search window and the size of the comparison window for a series of Computed Tomography (CT) images. All of them contain Additive White Gaussian Noise (AWGN) with a particular variance and zero mean, both of which are preliminary unknown. Applying the optimization procedure over a single slice from the CT packet appears to be efficient enough in finding the optimal parameters of the filter for the rest of the CT images. Positive results are obtained from filtering a complete set of CT images from a patient’s body and the quality of the filtration is higher than that of the Gaussian and Average filters.

References

    Issue

    Lecture Notes in Electrical Engineering, pp. 3–13, 2023, Germany, https://doi.org/10.1007/978-981-16-6775-6_1

    Вид: монография/части от монография, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus