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 2
First test case. (a) Original phantom. (b) Result of filtered back-projection after adding constant lines in the sinogram. (c) Image back-projected after applying the Munch et al. de-striper algorithm with $[\sigma]$ = 3.5, L = 2 and the `Daubechies 15' wavelet. (d) Difference between the phantom and the corrected image. The PSNR is 26.6. (e) Result of the correction with the RCP technique with W = 10 and $[\theta_{0}]$ = 10. (f) Difference between the phantom and the corrected image. The PSNR is 29.6. (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 39.0. (i) Result of the reconstruction using the Dictionary Learning technique with $[\beta]$ = 0.3, $[\beta_{r}]$ = 0.5, $[\rho]$ = 1. (j) Difference between the phantom and the reconstructed image. The PSNR is 29.2.

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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