Multiply projection by the angle it sees (the sum of the angle needed to reach the projection before and after it). The idea is to increase the counts of the projection proportionally to the angle it sees - the bigger the angle, the more weight of it's information would be.
A question here is whether such artificial increase in the counts ("information") is beneficial to the reconstruction. This should be used for datasets that are not using linear step in the projection angles
For paper contact me, as I'm not sure whether it's public or not.
Anders P. Kaestner, Beat Munch, Pavel Trtik, "Spatiotemporal computed tomography of dynamic processes," Opt. Eng. 50(12) 123201 (1 December 2011) https://doi.org/10.1117/1.3660298
Multiply projection by the angle it sees (the sum of the angle needed to reach the projection before and after it). The idea is to increase the counts of the projection proportionally to the angle it sees - the bigger the angle, the more weight of it's information would be.
A question here is whether such artificial increase in the counts ("information") is beneficial to the reconstruction. This should be used for datasets that are not using linear step in the projection angles
For paper contact me, as I'm not sure whether it's public or not.