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
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;
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
DOI :
10.1109/HISB.2012.59
