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Journal Article

Ultrasound Image Filtering and Reconstruction Using DCT/IDCT Filter Structure

Honarvar Shakibaei Asli Barmak, Flusser Jan, Zhao Y., Erkoyuncu J. A., Krishnan K. B., Farrokhi Y., Roy A. R.

: IEEE Access vol.8, 1 (2020), p. 141342-141357

: GA18-07247S, GA ČR, GJ18-26018Y, GA ČR

: Discrete cosine transform (DCT), inverse discrete cosine transform (IDCT), discrete convolution, finite-impulse filter (FIR), Z-transform, ultrasound images, noise

: 10.1109/ACCESS.2020.3011970

: http://library.utia.cas.cz/separaty/2020/ZOI/honarvar-0531609.pdf

: https://ieeexplore.ieee.org/document/9149615

(eng): 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.

: JD

: 20206

2019-01-07 08:39