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

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.
פורמט: Статья
שפה:English
יצא לאור: Institute of Electrical and Electronics Engineers Inc. 2022
נושאים:
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
גישה מקוונת:https://dspace.ncfu.ru/handle/20.500.12258/19172
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https://dspace.ncfu.ru/handle/20.500.12258/19172

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