Ultrasound Image Filtering and Reconstruction Using DCT/IDCT Filter Structure
| Autor: | John Ahmet Erkoyuncu, Jan Flusser, Yifan Zhao, Yasin Farrokhi, Kajoli Banerjee Krishnan, Rajkumar Roy, Barmak Honarvar Shakibaei Asli |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
inverse discrete cosine transform (IDCT)
noise General Computer Science Finite impulse response Computer science Noise reduction TK ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Iterative reconstruction finite-impulse filter (FIR) Convolution Speckle pattern symbols.namesake Z-transform 0202 electrical engineering electronic engineering information engineering Discrete cosine transform General Materials Science ultrasound images Discrete cosine transform (DCT) Wiener filter discrete convolution General Engineering 020206 networking & telecommunications Filter (signal processing) Kernel (image processing) TA Computer Science::Computer Vision and Pattern Recognition symbols 020201 artificial intelligence & image processing lcsh:Electrical engineering. Electronics. Nuclear engineering Digital filter Algorithm lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 8, Pp 141342-141357 (2020) |
| ISSN: | 2169-3536 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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