DCT/IDCT Filter Design for Ultrasound Image Filtering

DCT/IDCT Filter Design for Ultrasound Image Filtering
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DOI:
10.1109/icpr48806.2021.9412838
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发表时间:
2021-01
期刊:
2020 25th International Conference on Pattern Recognition (ICPR)
影响因子:
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通讯作者:
Barmak Honarvar;J. Flusser;Yifan Zhao;J. Erkoyuncu;R. Roy
Barmak Honarvar;J. Flusser;Yifan Zhao;J. Erkoyuncu;R. Roy
中科院分区:
其他
文献类型:
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作者:
Barmak Honarvar;J. Flusser;Yifan Zhao;J. Erkoyuncu;R. Roy

文献摘要

相似文献

本文提出了一种基于离散余弦变换(DCT)卷积模型的有限冲激响应(FIR)数字滤波器设计的新递归结构。在我们的推导中,我们从DCT-II的卷积模型开始,将其Z变换用于所提出的滤波器结构。此外,使用相同的算法,一个滤波器基实现的逆DCT(IDCT)的图像重建。所提出的DCT/IDCT滤波器的计算时间实验表明,所提出的滤波器实现更快的CPU时间相比,其他。图像滤波和重建性能的超声图像上所提出的方法来验证的理论框架。
In this paper, a new recursive structure based on the convolution model of discrete cosine transform (DCT) for designing of a finite impulse response (FIR) digital filter is proposed. In our derivation, we start with the convolution model of DCT-II to use its Z-transform for the proposed filter structure perspective. Moreover, using the same algorithm, a filter base implementation of the inverse DCT (IDCT) for image reconstruction is developed. The computational time experiments of the proposed DCT/IDCT filter(s) demonstrate that the proposed filters achieve faster elapsed CPU time compared to the others. The image filtering and reconstruction performance of the proposed approach on ultrasound images are presented to validate the theoretical framework.