Abstract
AbstractUnderstanding 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 sc...
Highlights
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
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
Holography is commonly associated with the arts of displaying objects that seemingly appear realistic in three-dimensional space
Summary
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. ATOMIC, MOLECULAR & OPTICAL PHYSICS | REVIEW ARTICLE A review on noise suppression and aberration compensation in holographic particle image velocimetry *Corresponding author: K.F. Tamrin, Faculty of Arts, Computing Department, Computing and Creative Industry, Sultan Idris Education University (Universiti Pendidikan Sultan Idris), Tanjong Malim 35900, Perak, Malaysia E-mail: k.f.tamrin@outlook.com
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