City Research Online

Ultrasound Image Filtering and Reconstruction Using DCT/IDCT Filter Structure

Honarvar Shakibaei Asli, B., Flusser, J., Zhao, Y., Erkoyuncu, J. A., Banerjee Krishnan, K., Farrokhi, Y. and Roy, R. ORCID: 0000-0001-5491-7437 (2020). Ultrasound Image Filtering and Reconstruction Using DCT/IDCT Filter Structure. IEEE Access, 8, pp. 141342-141357. doi: 10.1109/access.2020.3011970

Abstract

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.

Publication Type: Article
Additional Information: This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
Publisher Keywords: Discrete cosine transforms, Ultrasonic imaging, Speckle, Finite impulse response filters, Image reconstruction, Convolution, Kernel
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments: School of Mathematics, Computer Science & Engineering
Date Deposited: 11 Sep 2020 10:01
URI: https://openaccess.city.ac.uk/id/eprint/24768
[img]
Preview
Text - Published Version
Available under License Creative Commons Attribution.

Download (3MB) | Preview

Export

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login