| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 11021107 | Journal of Computational Science | 2018 | 8 Pages |
Abstract
A fuzzy-based sharpness metric for the objective measurement of sharpness of Magnetic Resonance (MR) images is proposed in this paper. In the proposed metric, Quadratic Index of fuzziness (QIF) is used to quantitatively express image sharpness. The proposed metric is found to be superior to Maximum Local Variation (MLV) metric, Perceptual Sharpness Index (PSI), Second order Derivative based Measure of Enhancement (SDME), Blanchet's Sharpness Index (BSI) and Roffet's Blur Metric (RBM) in terms of correlation with subjective quality ratings and computational time.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Simi V.R., Damodar Reddy Edla, Justin Joseph,