A Fuzzy Sharpness Metric for Magnetic Resonance Images

V. R. Simi; Damodar Reddy Edla; Justin Joseph

doi:10.1016/j.jocs.2018.09.010

A Fuzzy Sharpness Metric for Magnetic Resonance Images

V. R. Simi^*
, Damodar Reddy Edla
, Justin Joseph

^*Corresponding author for this work

School of Computer Engineering

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1-8
Number of pages	8
Journal	Journal of Computational Science
Volume	29
DOIs	https://doi.org/10.1016/j.jocs.2018.09.010
Publication status	Published - 11-2018

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science
Modelling and Simulation

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10.1016/j.jocs.2018.09.010

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title = "A Fuzzy Sharpness Metric for Magnetic Resonance Images",

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.",

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T1 - A Fuzzy Sharpness Metric for Magnetic Resonance Images

AU - Simi, V. R.

AU - Edla, Damodar Reddy

AU - Joseph, Justin

PY - 2018/11

Y1 - 2018/11

N2 - 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.

AB - 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.

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UR - https://www.scopus.com/pages/publications/85053915508#tab=citedBy

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DO - 10.1016/j.jocs.2018.09.010

M3 - Article

AN - SCOPUS:85053915508

SN - 1877-7503

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SP - 1

EP - 8

JO - Journal of Computational Science

JF - Journal of Computational Science

ER -

A Fuzzy Sharpness Metric for Magnetic Resonance Images

Abstract

All Science Journal Classification (ASJC) codes

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