Release Time:2019-03-11  Hits:

Indexed by: Conference Paper

Date of Publication: 2011-10-15

Included Journals: Scopus、EI

Volume: 1

Page Number: 233-236

Abstract: In the present work, a recent proposed transformation domain filter algorithm (BM3D) using the sparseness and self-similarity properties of the images is presented and adapted to reduce the specific Rician distribution noise in MRI magnitude images. The proposed R-BM3D method is compared to the state-of-the-art transformation domain filter method (ODCT3D), which is proved to be superior to the blockwise nonlocal means filter, the wavelet sub-band coefficient mixing method, and the anisotropic diffusion filter. Comparative experimental results indicate that the proposed R-BM3D is quite competitive in RMSE metric, filter time and visual inspection. ? 2011 IEEE.