Review: A Survey on Objective Evaluation of Image Sharpness
Establishing an accurate objective evaluation metric of image sharpness is crucial for image analysis, recognition and quality measurement. In this review, we highlight recent advances in no-reference image quality assessment research, divide the reported algorithms into four groups (spatial domain-...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/13/4/2652 |
| _version_ | 1797622507793022976 |
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| author | Mengqiu Zhu Lingjie Yu Zongbiao Wang Zhenxia Ke Chao Zhi |
| author_facet | Mengqiu Zhu Lingjie Yu Zongbiao Wang Zhenxia Ke Chao Zhi |
| author_sort | Mengqiu Zhu |
| collection | DOAJ |
| description | Establishing an accurate objective evaluation metric of image sharpness is crucial for image analysis, recognition and quality measurement. In this review, we highlight recent advances in no-reference image quality assessment research, divide the reported algorithms into four groups (spatial domain-based methods, spectral domain-based methods, learning-based methods and combination methods) and outline the advantages and disadvantages of each method group. Furthermore, we conduct a brief bibliometric study with which to provide an overview of the current trends from 2013 to 2021 and compare the performance of representative algorithms on public datasets. Finally, we describe the shortcomings and future challenges in the current studies. |
| first_indexed | 2024-03-11T09:11:14Z |
| format | Article |
| id | doaj.art-a800b8cea5dd412983a0da52920162c6 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T09:11:14Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-a800b8cea5dd412983a0da52920162c62023-11-16T18:58:49ZengMDPI AGApplied Sciences2076-34172023-02-01134265210.3390/app13042652Review: A Survey on Objective Evaluation of Image SharpnessMengqiu Zhu0Lingjie Yu1Zongbiao Wang2Zhenxia Ke3Chao Zhi4School of Textile Science and Engineering, Xi’an Polytechnic University, Xi’an 710048, ChinaSchool of Textile Science and Engineering, Xi’an Polytechnic University, Xi’an 710048, ChinaFaculty of Engineering, The University of Sydney, Sydney, NSW 2006, AustraliaSchool of Textile Science and Engineering, Xi’an Polytechnic University, Xi’an 710048, ChinaSchool of Textile Science and Engineering, Xi’an Polytechnic University, Xi’an 710048, ChinaEstablishing an accurate objective evaluation metric of image sharpness is crucial for image analysis, recognition and quality measurement. In this review, we highlight recent advances in no-reference image quality assessment research, divide the reported algorithms into four groups (spatial domain-based methods, spectral domain-based methods, learning-based methods and combination methods) and outline the advantages and disadvantages of each method group. Furthermore, we conduct a brief bibliometric study with which to provide an overview of the current trends from 2013 to 2021 and compare the performance of representative algorithms on public datasets. Finally, we describe the shortcomings and future challenges in the current studies.https://www.mdpi.com/2076-3417/13/4/2652evaluation metricimage sharpnessno-referenceimage qualityevaluation algorithm |
| spellingShingle | Mengqiu Zhu Lingjie Yu Zongbiao Wang Zhenxia Ke Chao Zhi Review: A Survey on Objective Evaluation of Image Sharpness Applied Sciences evaluation metric image sharpness no-reference image quality evaluation algorithm |
| title | Review: A Survey on Objective Evaluation of Image Sharpness |
| title_full | Review: A Survey on Objective Evaluation of Image Sharpness |
| title_fullStr | Review: A Survey on Objective Evaluation of Image Sharpness |
| title_full_unstemmed | Review: A Survey on Objective Evaluation of Image Sharpness |
| title_short | Review: A Survey on Objective Evaluation of Image Sharpness |
| title_sort | review a survey on objective evaluation of image sharpness |
| topic | evaluation metric image sharpness no-reference image quality evaluation algorithm |
| url | https://www.mdpi.com/2076-3417/13/4/2652 |
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