Affiliation:
1. School of Electrical and Electronic Engineering, University College Dublin, D04 V1W8 Dublin, Ireland
Abstract
Gibbs ringing is an artefact that is inevitable in any imaging modality where the measurement is Fourier band-limited. It impacts the quality of the image by creating a ringing appearance around discontinuities. Many novel ways of suppressing the artefact have been proposed, including machine learning methods, but the quantitative comparisons of the results have frequently been lacking in rigour. In this paper, we examine image quality assessment metrics on three test images with different complexity. We determine six metrics which show promise for simultaneously assessing severity of Gibbs ringing and of other error such as blurring. We examined applying metrics to a region of interest around discontinuities in the image and use the metrics on the resulting region of interest. We demonstrate that the region of interest approach does not improve the performance of the metrics. Finally, we examine the effect of the error threshold parameter in two metrics. Our results will aid development of best practice in comparison of algorithms for the suppression of Gibbs ringing.
Funder
Irish Research Council Government of Ireland Postgraduate Scholarship
GliMR EU COST Action
Subject
Computational Mathematics,Computational Theory and Mathematics,Numerical Analysis,Theoretical Computer Science
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Reading between the lines: interpolation as it impacts ringing suppression;Holography, Diffractive Optics, and Applications XIII;2023-11-27
2. Reducing ringing artefact in fresnel digital holography using compressed sensing;International Conference on Images, Signals, and Computing (ICISC 2023);2023-08-21
3. Compressive digital holography and Gibbs ringing;Holography: Advances and Modern Trends VIII;2023-05-31