TY - JOUR
T1 - Iterative noise removal from temperature and density profiles in the TJ-II Thomson scattering
AU - Farias, G.
AU - Dormido-Canto, S.
AU - Vega, J.
AU - Santos, M.
AU - Pastor, I.
AU - Fingerhuth, S.
AU - Ascencio, J.
N1 - Funding Information:
This work was partially funded by the Chilean Ministry of Education under the Project FONDECYT 11121590. This work was also partially funded by the Spanish Ministry of Economy and Competitiveness under the projects nos. ENE2012-38970-C04-01 and ENE2012-38970-C04-03.
PY - 2014/5
Y1 - 2014/5
N2 - TJ-II Thomson Scattering diagnostic provides temperature and density profiles of plasma. The CCD camera acquires images that are corrupted with some kind of noise called stray-light. This noise degrades both image contrast and measurement accuracy, which could produce unreliable profiles of the diagnostic. So far, several approaches have been applied in order to decrease the noise in the TJ-II Thomson scattering images. Since the presence of the noise is not global but located in some particular regions of the image, advanced processing techniques are needed. However such methods require of manual fine-tuning of parameters to reach a good performance. In this contribution, an iterative image processing approach is applied in order to reduce the stray light effects in the images of the TJ-II Thomson scattering diagnostic. The proposed solution describes how the noise can be iteratively reduced in the images when a key parameter is automatically adjusted during the iterative process.
AB - TJ-II Thomson Scattering diagnostic provides temperature and density profiles of plasma. The CCD camera acquires images that are corrupted with some kind of noise called stray-light. This noise degrades both image contrast and measurement accuracy, which could produce unreliable profiles of the diagnostic. So far, several approaches have been applied in order to decrease the noise in the TJ-II Thomson scattering images. Since the presence of the noise is not global but located in some particular regions of the image, advanced processing techniques are needed. However such methods require of manual fine-tuning of parameters to reach a good performance. In this contribution, an iterative image processing approach is applied in order to reduce the stray light effects in the images of the TJ-II Thomson scattering diagnostic. The proposed solution describes how the noise can be iteratively reduced in the images when a key parameter is automatically adjusted during the iterative process.
KW - Image processing
KW - Iterative noise reduction
KW - Stray light
KW - TJ-II Thomson scattering diagnostic
UR - http://www.scopus.com/inward/record.url?scp=84902540200&partnerID=8YFLogxK
U2 - 10.1016/j.fusengdes.2014.03.050
DO - 10.1016/j.fusengdes.2014.03.050
M3 - Article
AN - SCOPUS:84902540200
VL - 89
SP - 761
EP - 765
JO - Fusion Engineering and Design
JF - Fusion Engineering and Design
SN - 0920-3796
IS - 5
ER -