Image Denoising Based on the One-Dimensional LPA-RICI Method (CROSBI ID 555255)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Lerga, Jonatan ; Sučić, Victor:, Seršić, Damir
engleski
Image Denoising Based on the One-Dimensional LPA-RICI Method
The recently proposed signal denoising method based on the relative intersection of confidence intervals (RICI) rule combined with local polynomial approximation is applied to image denoising, with images being transformed to one-dimensional signals. The obtained results, in the terms of peak signal-to-noise ratio (PSNR), are compared to the results obtained using the approach based on the intersection of confidence (ICI) rule. It is shown that the denoising approach using the LPA-RICI method outperforms the one using the LPA-ICI method. Although the proposed denoising approach does not outperform the state-of-the-art denoising techniques, the main advantages of the one-dimensional image denoising algorithm are its simplicity, and the fact that it is computationally less demanding than two-dimensional anisotropic image denoising approaches.
Image denoising; image restoration; adaptive filtering; adaptive varying window selection; one-dimensional signal processing; relative intersection of confidence intervals (RICI) rule; intersection of confidence intervals (ICI) rule; local polynomial approximation (LPA).
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Podaci o prilogu
57-60.
2009.
objavljeno
Podaci o matičnoj publikaciji
Proceedings ELMAR-2009
Grgić, Mislav ; Božek, Jelena ; Grgić, Sonja
Zadar: Hrvatsko društvo Elektronika u pomorstvu (ELMAR)
978-953-7044-10-7
1334-2630
Podaci o skupu
51th International Symposium ELMAR-2009
predavanje
28.09.2009-30.09.2009
Zadar, Hrvatska