A review on noise suppression and aberration compensation in holographic particle image velocimetry
Understanding three-dimensional (3D) fluid flow behaviour is undeniably crucial in improving performance and efficiency in a wide range of applications in engineering and medical fields. Holographic particle image velocimetry (HPIV) is a potential tool to probe and characterize complex flow dynamics...
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| Format: | Article |
| Language: | English |
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Cogent OA
2016
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| Online Access: | http://ir.unimas.my/id/eprint/17771/ http://ir.unimas.my/id/eprint/17771/1/Tamrin.pdf |
| _version_ | 1848838364926574592 |
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| author | Tamrin, K. F. Rahmatullah, B. Williams, James |
| author_facet | Tamrin, K. F. Rahmatullah, B. Williams, James |
| author_sort | Tamrin, K. F. |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | Understanding three-dimensional (3D) fluid flow behaviour is undeniably crucial in improving performance and efficiency in a wide range of applications in engineering and medical fields. Holographic particle image velocimetry (HPIV) is a potential tool to probe and characterize complex flow dynamics since it is a truly three-dimensional three-component measurement technique. The technique relies on the coherent light scattered by small seeding particles that are assumed to faithfully follow the flow for subsequent reconstruction of the same the event afterward. However, extraction of useful 3D displacement data from these particle images is usually aggravated by noise and aberration which are inherent within the optical system. Noise and aberration have been considered as major hurdles in HPIV in obtaining accurate particle image identification and its corresponding 3D position. Major contributions to noise include zero-order diffraction, out-of-focus particles, virtual image and emulsion grain scattering. Noise suppression is crucial to ensure that particle image can be distinctly differentiated from background noise while aberration compensation forms particle image with high integrity. This paper reviews a number of HPIV configurations that have been proposed to address these issues, summarizes the key findings and outlines a basis for follow-on research. |
| first_indexed | 2025-11-15T06:54:23Z |
| format | Article |
| id | unimas-17771 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:54:23Z |
| publishDate | 2016 |
| publisher | Cogent OA |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-177712021-06-09T14:12:11Z http://ir.unimas.my/id/eprint/17771/ A review on noise suppression and aberration compensation in holographic particle image velocimetry Tamrin, K. F. Rahmatullah, B. Williams, James TJ Mechanical engineering and machinery Understanding three-dimensional (3D) fluid flow behaviour is undeniably crucial in improving performance and efficiency in a wide range of applications in engineering and medical fields. Holographic particle image velocimetry (HPIV) is a potential tool to probe and characterize complex flow dynamics since it is a truly three-dimensional three-component measurement technique. The technique relies on the coherent light scattered by small seeding particles that are assumed to faithfully follow the flow for subsequent reconstruction of the same the event afterward. However, extraction of useful 3D displacement data from these particle images is usually aggravated by noise and aberration which are inherent within the optical system. Noise and aberration have been considered as major hurdles in HPIV in obtaining accurate particle image identification and its corresponding 3D position. Major contributions to noise include zero-order diffraction, out-of-focus particles, virtual image and emulsion grain scattering. Noise suppression is crucial to ensure that particle image can be distinctly differentiated from background noise while aberration compensation forms particle image with high integrity. This paper reviews a number of HPIV configurations that have been proposed to address these issues, summarizes the key findings and outlines a basis for follow-on research. Cogent OA 2016 Article PeerReviewed text en http://ir.unimas.my/id/eprint/17771/1/Tamrin.pdf Tamrin, K. F. and Rahmatullah, B. and Williams, James (2016) A review on noise suppression and aberration compensation in holographic particle image velocimetry. Cogent Physics, 3. ISSN 2331-1940 http://dx.doi.org/10.1080/23311940.2016.1142819 Doi : 10.1080/23311940.2016.1142819 |
| spellingShingle | TJ Mechanical engineering and machinery Tamrin, K. F. Rahmatullah, B. Williams, James A review on noise suppression and aberration compensation in holographic particle image velocimetry |
| title | A review on noise suppression and aberration compensation in holographic particle image velocimetry |
| title_full | A review on noise suppression and aberration compensation in holographic particle image velocimetry |
| title_fullStr | A review on noise suppression and aberration compensation in holographic particle image velocimetry |
| title_full_unstemmed | A review on noise suppression and aberration compensation in holographic particle image velocimetry |
| title_short | A review on noise suppression and aberration compensation in holographic particle image velocimetry |
| title_sort | review on noise suppression and aberration compensation in holographic particle image velocimetry |
| topic | TJ Mechanical engineering and machinery |
| url | http://ir.unimas.my/id/eprint/17771/ http://ir.unimas.my/id/eprint/17771/ http://ir.unimas.my/id/eprint/17771/ http://ir.unimas.my/id/eprint/17771/1/Tamrin.pdf |