Ultrasound Image Filtering and Reconstruction Using DCT/IDCT Filter Structure
Ultrasound Image Filtering and Reconstruction Using DCT/IDCT Filter Structure
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DOI：
10.1109/access.2020.3011970
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发表时间：
2020-01-01
期刊：
影响因子：
3.9
通讯作者：
Roy, Rajkumar
中科院分区：
文献类型：
--
作者：
Asli, Barmak Honarvar Shakibaei;Flusser, Jan;Roy, Rajkumar
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)数字滤波器设计的递推结构。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角度。此外，使用相同的算法，实现了基于滤波器的逆DCT(IDCT)图像重建。S提出的离散余弦变换/离散余弦变换滤波器的计算时间实验表明，与任意长度的离散余弦变换/离散余弦变换的直接递归结构和递归算法相比，所提出的滤波器具有更快的计算时间。在临床超声图像上的实验结果，以及与经典维纳滤波、非局部平均(NLM)滤波和总变分(TV)算法的比较，验证了所提方法在超声图像降噪和重建性能方面的改进。
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 direct recursive structures and recursive algorithms for the DCT/IDCT with Arbitrary Length. Experimental results on clinical ultrasound images and comparisons with classical Wiener filter, non-local mean (NLM) filter and total variation (TV) algorithms are used to validate the improvements of the proposed approaches in both noise reduction and reconstruction performance for ultrasound images.