文章基本信息

标题：Improving the iterative back projection estimation through Lorentzian sharp infinite symmetrical filter
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作者：Amir Nazren Abdul Rahim ; Shahrul Nizam Yaakob ; Lee Yeng Seng 等
期刊名称：International Journal of Electrical and Computer Engineering
电子版ISSN：2088-8708
出版年度：2022
卷号：12
期号：3
页码：2539-2552
DOI：10.11591/ijece.v12i3.pp2539-2552
语种：English
出版社：Institute of Advanced Engineering and Science (IAES)
摘要：This study proposed an enhancement technique for improvising the estimation technique in iterative back projection (IBP) by using the Lorentzian error function with a sharp infinite symmetrical filter (SISEF). The IBP estimation is an iteratively based error correction that can minimize the error reconstruction significantly. However, the IBP has a drawback in that it suffers from jaggy and ringing artifacts as a result of the iterative reconstruction method and the absence of edge guidance. Furthermore, because the IBP estimator tended to oscillate at the same solution frequently, numerous iterations were required. Therefore, this study proposed edge enhancement to enhance the estimator by using the combination of the IBP with Lorentzian SISEF to produce a finer high-resolution output image. As a result, the SISEF is used to improvise the estimator by providing high accuracy of edge detail information for enhancing the edge image. At the same time, the Lorentzian error norm helps to increase the robustness of the IBP algorithm from contamination of additional noise and the ringing artifacts.
关键词：enhancement;image processing;iterative back projection;ringing effect;super resolution