TY - GEN
T1 - Magnetic resonance image denoising using multiple filters
AU - Ai, Danni
AU - Wang, Jinjuan
AU - Miwa, Yuichi
PY - 2013
Y1 - 2013
N2 - We introduced and compared ten denoisingfilters which are all proposed during last fifteen years. Especially, the state-of-art denoisingalgorithms, NLM and BM3D, have attracted much attention. Several expansions are proposed to improve the noise reduction based on these two algorithms. On the other hand, optimal dictionaries, sparse representations and appropriate shapes of the transform's support are also considered for the image denoising. The comparison among variousfiltersis implemented by measuring the SNR of a phantom image and denoising effectiveness of a clinical image. The computational time is finally evaluated.
AB - We introduced and compared ten denoisingfilters which are all proposed during last fifteen years. Especially, the state-of-art denoisingalgorithms, NLM and BM3D, have attracted much attention. Several expansions are proposed to improve the noise reduction based on these two algorithms. On the other hand, optimal dictionaries, sparse representations and appropriate shapes of the transform's support are also considered for the image denoising. The comparison among variousfiltersis implemented by measuring the SNR of a phantom image and denoising effectiveness of a clinical image. The computational time is finally evaluated.
KW - Magnetic Resonance Image
KW - list: Denoising filters
UR - http://www.scopus.com/inward/record.url?scp=84889847926&partnerID=8YFLogxK
U2 - 10.1117/12.2030543
DO - 10.1117/12.2030543
M3 - Conference contribution
AN - SCOPUS:84889847926
SN - 9780819493057
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Fifth International Conference on Digital Image Processing, ICDIP 2013
T2 - 5th International Conference on Digital Image Processing, ICDIP 2013
Y2 - 21 April 2013 through 22 April 2013
ER -