Low-bit hardware implementation of DWT for 3D medical images processing
Denoising and compression of tomographic images are important problems in modern medical imaging systems. Discrete wavelet transform (DWT) is used to solve them in practice. We analyzed the quantization noise effect in coefficients of DWT filters for 3D tomographic imaging. The method for wavelet fi...
保存先:
| 主要な著者: | , , , , , , , |
|---|---|
| フォーマット: | Статья |
| 言語: | English |
| 出版事項: |
Institute of Electrical and Electronics Engineers Inc.
2020
|
| 主題: | |
| オンライン･アクセス: | https://dspace.ncfu.ru/handle/20.500.12258/12085 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
| 要約: | Denoising and compression of tomographic images are important problems in modern medical imaging systems. Discrete wavelet transform (DWT) is used to solve them in practice. We analyzed the quantization noise effect in coefficients of DWT filters for 3D tomographic imaging. The method for wavelet filters coefficients quantizing is proposed which allows minimizing resources in hardware implementation. All data are presented in the fixed-point format in the proposed method of 3D tomographic images DWT. Hardware implementation is performed in Xilinx Vivado 2018.3 for the target device Kintex UltraScale xcku115-flvf-1924-3-e. The proposed method of reducing bit-width allows us to use to 15% - 70% fewer hardware resources, to 12% - 28% less delay of the device and to 4% - 59% fewer energy costs compare to known approaches |
|---|