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Telfor Journal
2018, vol. 10, br. 1, str. 26-31
jezik rada: engleski
vrsta rada: neklasifikovan
objavljeno: 09/08/2018
doi: 10.5937/telfor1801026O
Recursive noise reduction for digital radiography images
(naslov ne postoji na srpskom)
Univerzitet u Novom Sadu, Fakultet tehničkih nauka, Institut/odsek Energetika, elektronika i telekomunikacije



Razvoj dijaloških sistema za srpski i druge južnoslovenske jezike (MPNTR - 32035)
Razvoj multivarijabilnih metoda za analitičku podršku biomedicinskoj dijagnostici (MPNTR - 32040)


(ne postoji na srpskom)
Modern digital radiography images are large, suggesting that a denoising algorithm should be computationally efficient. In this paper, we propose a homomorphic recursive noise reduction approach. The proposed method was compared to anisotropic diffusion on a database consisting of 47 clinical radiography images, and was subjectively deemed better at noise reduction. The proposed approach was shown to require 50 % fewer iterations to produce subjectively the same results. Objective comparison of the algorithms through a structural similarity index and peak signal-to-noise ratio showed that the proposed method outperforms anisotropic diffusion for various signal-to-noise ratios.

Ključne reči

digital radiography; homomorphic filtering; image noise reduction; recursive filtering


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