Asli, BHS and Flusser, J and Zhao, Y and Erkoyuncu, JA and Banerjee Krishnan, K and Farrokhi, Y and Roy, R (2020) Ultrasound Image Filtering and Reconstruction Using DCT/IDCT Filter Structure. In: IEEE Access, 8 . pp. 141342-141357.
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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. © 2013 IEEE.
| Item Type: | Journal Article |
|---|---|
| Publication: | IEEE Access |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Additional Information: | The copyright of this article belongs to Institute of Electrical and Electronics Engineers Inc. |
| Keywords: | Convolution; Digital filters; Discrete cosine transforms; Image compression; Image denoising; Image enhancement; Impulse response; Inverse transforms; Noise abatement; Ultrasonics; Z transforms, Computational time; Convolution model; Discrete Cosine Transform(DCT); Filter structures; Finite impulse response (FIR) digital filter; Non local means (NLM); Recursive algorithms; Recursive structure, Image reconstruction |
| Department/Centre: | Autonomous Societies / Centres > Society for Innovation and Development |
| Date Deposited: | 21 Sep 2020 08:59 |
| Last Modified: | 21 Sep 2020 08:59 |
| URI: | http://eprints.iisc.ac.in/id/eprint/66507 |
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