Design and Analysis of LMMSE Filter for MR Image Data

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Abstract

This paper deals with the method of removing the noise in MRI images- During data capture and transmission, the data is disturbed by a noise component that cannot be completely reproduced exclude. Noise is defined in signal theory as additive information that was added to the original purchasing equipment or during the transport. Study of noise models is a very important part of image processing. On the images are applied noise generators, and design LMMSE filter, which is used for shaded images. They were tested salt and pepper noise, Gaussian noise and Rican noise. For each noise, more than one level of this noise. Another task was objective and subjective evaluation of the success of the filtration.

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Kubicek, J., Krestanova, A., Polachova, M., Oczka, D., Penhaker, M., Cerny, M., … Krejcar, O. (2019). Design and Analysis of LMMSE Filter for MR Image Data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11432 LNAI, pp. 336–348). Springer Verlag. https://doi.org/10.1007/978-3-030-14802-7_29

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