RNS-based FPGA accelerators for high-quality 3D medical image wavelet processing using scaled filter coefficients

Medical imaging using different modalities has many problems. The main ones are low informativeness, various distortion noises, and a large amount of information. Fusion, denoising, and visual data compression are used to solve them in practice. Discrete wavelet transform is one way to implement var...

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Главные авторы:	Nagornov, N. N., Нагорнов, Н. Н., Lyakhov, P. A., Ляхов, П. А., Valueva, M. V., Валуева, М. В., Bergerman, M. V., Бергерман, М. В.
Format:	Статья
Sprog:	English
Udgivet:	Institute of Electrical and Electronics Engineers Inc. 2022
Fag:	Three-dimensional displays Wavelet transforms Biomedical imaging Discrete wavelet transform Discrete wavelet transforms Field programmable gate arrays (FPGA) Field-programmable gate arrays Hardware accelerator High-performance computing Image coding Medical image processing Performance evaluation Residue number system (RNS) Scaled filter coefficients
Online adgang:	https://dspace.ncfu.ru/handle/20.500.12258/19172
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https://dspace.ncfu.ru/handle/20.500.12258/19172

RNS-based FPGA accelerators for high-quality 3D medical image wavelet processing using scaled filter coefficients

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