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Phase-Retrieval Algorithm for Hololens Resolution Analysis in a Sustainable Photopolymer
Tomás Lloret1,2, Víctor Navarro-Fuster1,3, Marta Morales-Vidal1,2
1Instituto Universitario de Física Aplicada a las Ciencias y las Tecnologías, Universidad de Alicante, Carretera San Vicente del Raspeig s/n, 03690 San Vicente del Raspeig, Spain.
Polymers
|October 28, 2025
Summary
Researchers used the Gerchberg-Saxton algorithm to reconstruct the amplitude spread function of holographic lenses. This method enhances image quality and characterizes the spatial resolution of sustainable holographic lenses for advanced optical applications.
Area of Science:
- Optics and Photonics
- Materials Science
Background:
- Holographic lenses (HLs) are crucial for augmented reality (AR) glasses and other advanced optical systems.
- Characterizing the spatial resolution of HLs is essential for optimizing their performance.
- Sustainable photopolymers offer a promising material basis for fabricating high-performance HLs.
Purpose of the Study:
- To employ the iterative Gerchberg-Saxton (GS) algorithm for reconstructing the amplitude spread function (ASF) of holographic lenses.
- To characterize the spatial resolution of holographic lenses fabricated on a sustainable photopolymer (Biophotopol) using a CCD sensor.
- To assess the effectiveness of the GS algorithm in mitigating information loss and improving image quality in holographic imaging systems.
Main Methods:
- The Gerchberg-Saxton (GS) phase-retrieval algorithm was utilized to reconstruct the amplitude spread function (ASF) of holographic lenses.
- Spatial resolution was quantified by convolving the reconstructed ASFs with objective (Siemens star chart) and subjective (Random E visual acuity test) resolution targets.
- Image analysis was performed using a CCD sensor to evaluate lens performance and resolution limits.
Main Results:
- The iterative GS algorithm successfully reconstructed the ASF, enabling phase and amplitude information recovery.
- Holographic lenses recorded on Biophotopol demonstrated a spatial resolution of 8.9 line pairs/mm (lp/mm) with the Siemens star chart.
- A subjective evaluation using the Random E test yielded a spatial resolution of 30 cycles/degree for the Biophotopol-based holographic lenses.
Conclusions:
- The Gerchberg-Saxton algorithm provides a reliable method for characterizing holographic lenses and improving image quality, especially with CCD/CMOS sensors.
- Sustainable Biophotopol-based holographic lenses meet the spatial resolution requirements for advanced optical applications.
- This research contributes to the development of sustainable, high-resolution holographic lenses for future imaging technologies.
