Source abstract
Abstract
ABSTRACT Image pixel density is a key factor limiting image clarity, while the scalar spatial bandwidth product (SBP) is the critical parameter determining the resolution of acoustic holographic imaging. Under finite SBP conditions, achieving high‐resolution imaging remains a significant challenge for current acoustic meta‐hologram techniques due to the constraints imposed by the diffraction limit of sound waves. To address the resolution and data density limitations of acoustic holography at the diffraction limit, we propose a super‐resolution and high data density holographic imaging method at low SBP based on amplitude‐phase coupling modulation mechanisms. By revealing the relationship between amplitude‐phase coupling and acoustic energy conservation, we derive a high‐resolution focused phase distribution suitable for low SBP under acoustic energy conservation constraints. Introducing coupled focused phases into the hologram enables super‐resolution acoustic field reconstruction and high‐data‐density information transmission at low SBP, providing a theoretical basis for overcoming the diffraction limit. We demonstrate the proposed concept of super‐resolution and high‐data‐density hologram through theoretical derivation, numerical simulation, and experimental validation. This super‐resolution holographic imaging method, based on amplitude‐phase coupling modulation under acoustic energy conservation constraints, provides a conceptually advanced technical approach for achieving high‐resolution acoustic hologram under low data density.
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Research context
OpenAlex topics: Digital Holography and Microscopy · Acoustic Wave Phenomena Research · Aerodynamics and Acoustics in Jet Flows
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Jiangsu Key Laboratory for Design and Manufacturing of Precision Medicine Equipment School of Mechanical Engineering Southeast University Nanjing China
Key Laboratory of Underwater Acoustic Signal Processing (Southeast University) Ministry of Education Nanjing China
State Key Laboratory of Digital Medical Engineering School of Biological Science and Medical Engineering Southeast University Nanjing China
Institute of Microphysiological Systems Southeast University Nanjing China
Institut Jean Lamour CNRS University of Lorraine Nancy France
Funding
National Natural Science Foundation of China · Natural Science Foundation of Jiangsu Province · Fundamental Research Funds for the Central Universities
References (37)
Show source-provided references
5. Goodman J. W. · 2005
36. J.KennedyandR.Eberhart Proceedings of ICNN’95 – International Conference on Neural Networks(IEEE 1995) 1942–1948.
37. Y.ShiandR.Eberhart 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360)(IEEE 1998) 69–73 https://doi.org/10.1109/ICEC.1998.699146.
10.1109/ICEC.1998.699146 ↗