Fuzzy similarity based non local means filter for Rician noise removal
| LEADER | caa a22 4500 | ||
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| 001 | 605447977 | ||
| 003 | CHVBK | ||
| 005 | 20210128100134.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150801xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s11042-014-1867-8 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s11042-014-1867-8 | ||
| 245 | 0 | 0 | |a Fuzzy similarity based non local means filter for Rician noise removal |h [Elektronische Daten] |c [Muhammad Sharif, Ayyaz Hussain, Muhammad Jaffar, Tae-Sun Choi] |
| 520 | 3 | |a Rician noise contaminated Magnetic Resonance (MR) Images can effect the accuracy of quantitative analysis. For accurate analysis of MR data, noise smoothing is considered as an important pre-processing step. In this article, a novel Fuzzy Similarity based Non-Local Means (FSNLM) filter has been proposed for the removal of Rician noise from MR images. Proposed technique consists of three major modules: Pre-processing, Fuzzy similarity and Fuzzy restoration. In pre-processing module, some important statistical parameters are identified. These parameters are then used by the fuzzy similarity mechanism to find non-local homogeneous neighboring pixels. Selected homogeneous pixels play an important role during fuzzy logic based restoration process for the estimation of noise-free pixels. The proposed scheme FSNLM has been tested on simulated and real data sets, and compared with state-of-the-art filters based on well known global and local quantitative measures such as root-mean-squared-error (RMSE), peak-signal-to-noise-ratio (PSNR), structural-similarity-index-measure (SSIM), and figure-of-merit (FOM). Experimental results show that the proposed noise filtering technique is more effective than the existing methods, both at low and high densities of Rician noise. | |
| 540 | |a Springer Science+Business Media New York, 2014 | ||
| 690 | 7 | |a Medical image restoration |2 nationallicence | |
| 690 | 7 | |a Magnetic resonance imaging |2 nationallicence | |
| 690 | 7 | |a Image denoising |2 nationallicence | |
| 690 | 7 | |a Rician noise |2 nationallicence | |
| 690 | 7 | |a Fuzzy logic |2 nationallicence | |
| 700 | 1 | |a Sharif |D Muhammad |u Department of Computer Science, National University of Computer & Emerging Sciences (FAST-NU), Islamabad, Pakistan |4 aut | |
| 700 | 1 | |a Hussain |D Ayyaz |u Signal & Image Processing Laboratory, Department of Mechatronics, Gwangju Institute of Science & Technology, Gwangju, South Korea |4 aut | |
| 700 | 1 | |a Jaffar |D Muhammad |u Department of Computer Science, National University of Computer & Emerging Sciences (FAST-NU), Islamabad, Pakistan |4 aut | |
| 700 | 1 | |a Choi |D Tae-Sun |u Signal & Image Processing Laboratory, Department of Mechatronics, Gwangju Institute of Science & Technology, Gwangju, South Korea |4 aut | |
| 773 | 0 | |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/15(2015-08-01), 5533-5556 |x 1380-7501 |q 74:15<5533 |1 2015 |2 74 |o 11042 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s11042-014-1867-8 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s11042-014-1867-8 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Sharif |D Muhammad |u Department of Computer Science, National University of Computer & Emerging Sciences (FAST-NU), Islamabad, Pakistan |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Hussain |D Ayyaz |u Signal & Image Processing Laboratory, Department of Mechatronics, Gwangju Institute of Science & Technology, Gwangju, South Korea |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Jaffar |D Muhammad |u Department of Computer Science, National University of Computer & Emerging Sciences (FAST-NU), Islamabad, Pakistan |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Choi |D Tae-Sun |u Signal & Image Processing Laboratory, Department of Mechatronics, Gwangju Institute of Science & Technology, Gwangju, South Korea |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/15(2015-08-01), 5533-5556 |x 1380-7501 |q 74:15<5533 |1 2015 |2 74 |o 11042 | ||