Ring artifacts correction in compressed sensing tomographic reconstruction

Paleo, P.; Mirone, A.

doi:10.1107/S1600577515010176

Journal of Synchrotron Radiation Journal of
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Figure 3
Second test case.(a) Original phantom. (b) Result of filtered back-projection after adding lines of variable width and intensity in the sinogram. (c) Image back-projected after applying the Munch et al. de-striper algorithm, with $[\sigma]$ = 1.5, L = 2 and the `Daubechies 15' wavelet. (d) Difference between the phantom and the corrected image. The PSNR is 29.2. (e) Result of the correction using the RCP technique with W = 10 and $[\theta_{0}]$ = 10. (f) Difference between the phantom and the corrected image. The PSNR is 25.1. (g) Result of the reconstruction using the Total Variation regularization, with parameters $[\beta]$ = 0.5, $[\beta_{r}]$ = 0.05. (h) Difference between the phantom and the corrected image. The PSNR is 39.4. (i) Result of the reconstruction using the Dictionary Learning technique with $[\beta]$ = 0.7, $[\beta_{r}]$ = 0.5, $[\rho]$ = 1. (j) Difference between the phantom and the reconstructed image. The PSNR is 30.6.

JOURNAL OF
SYNCHROTRON
RADIATION

ISSN: 1600-5775

Volume 22| Part 5| September 2015| Pages 1268-1278

https://doi.org/10.1107/S1600577515010176

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