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...
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| Главные авторы: | , , , , , , , |
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| 格式: | Статья |
| 语言: | English |
| 出版: |
Institute of Electrical and Electronics Engineers Inc.
2020
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| 主题: | |
| 在线阅读: | https://dspace.ncfu.ru/handle/20.500.12258/12085 |
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| 总结: | 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 |
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