DocumentCode
2399192
Title
Removing Mixture Noise from Medical Images Using Block Matching Filtering and Low-Rank Matrix Completion
Author
Barzigar, Nafise ; Roozgard, Aminmohammad ; Verma, Pramode ; Cheng, Samuel
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Oklahoma, Tulsa, OK, USA
fYear
2012
fDate
27-28 Sept. 2012
Firstpage
134
Lastpage
134
Abstract
In this paper, an efficient medical image denoising method based on low-rank matrix completion and block matching filtering is proposed. The effectiveness of the algorithm in removing the mixed noise is demonstrated through the results. The results also proved the effectiveness of this algorithm in removing noise from regular structures. This method results in comparable performance with significantly lower computation complexity.
Keywords
computational complexity; filtering theory; image denoising; image matching; matrix algebra; medical image processing; block matching filtering; computational complexity; low-rank matrix completion; medical image denoising; mixed noise removal; regular structure noise removal; Biomedical imaging; Computed tomography; Image denoising; Noise; Noise measurement; Noise reduction; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Healthcare Informatics, Imaging and Systems Biology (HISB), 2012 IEEE Second International Conference on
Conference_Location
San Diego, CA
Print_ISBN
978-1-4673-4803-4
Type
conf
DOI
10.1109/HISB.2012.59
Filename
6366226
Link To Document