Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2015 Jul 14;22(Pt 5):1268–1278. doi: 10.1107/S1600577515010176

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© Paleo and Mirone 2015

This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.

PMC Copyright notice

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 = 1.5, = 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 = 10 and = 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 = 0.5, = 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 = 0.7, = 0.5, = 1. (j) Difference between the phantom and the reconstructed image. The PSNR is 30.6.

Inline graphic — 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 = 1.5, = 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 = 10 and = 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 = 0.5, = 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 = 0.7, = 0.5, = 1. (j) Difference between the phantom and the reconstructed image. The PSNR is 30.6.