RNS-Based FPGA Accelerators for High-Quality 3D Medical Image Wavelet Processing Using Scaled Filter Coefficients

@article{Nagornov2022RNSBasedFA,
  title={RNS-Based FPGA Accelerators for High-Quality 3D Medical Image Wavelet Processing Using Scaled Filter Coefficients},
  author={Nikolay N. Nagornov and Pavel A. Lyakhov and Maria V. Valueva and Maxim V. Bergerman},
  journal={IEEE Access},
  year={2022},
  volume={10},
  pages={19215-19231}
}
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 various fusion, denoising, and compression methods for 2D and 3D medical image processing. Medical imaging systems produce increasingly accurate images with scanning technology and digital devices…