Field-of-view enhanced integral imaging with dual prism arrays based on perspective-dependent pixel mapping

Area of Science:

• Optics and Photonics
• 3D Imaging Technologies
• Computational Imaging

Background:

• Integral imaging is a passive 3D display technique that captures multiple elemental images (EIs) from different perspectives.
• Conventional integral imaging systems often face limitations in field-of-view (FOV) and resolution.
• Enhancing the FOV is crucial for capturing more comprehensive 3D information and improving immersive experiences.

Purpose of the Study:

• To propose and validate a novel field-of-view (FOV)-enhanced integral imaging system.
• To integrate a micro-lens array (MLA) with a dual-prism array (DPA) to achieve a significantly larger FOV.
• To develop and implement a perspective-dependent pixel-mapping (PDPM) method for practical system operation.

Main Methods:

• Combining a micro-lens array (MLA) with a dual-prism array (DPA) to create a virtual MLA with an expanded FOV.
• Developing a two-step digital process, perspective-dependent pixel-mapping (PDPM), to remap elemental image arrays (EIAs).
• Conducting ray-optical analysis, computational simulations, and optical experiments with a prototype system.

Main Results:

• The proposed system effectively captures perspective-expanded EIAs, enabling FOV-enhanced 3D reconstruction.
• Ray-optical analysis confirmed the operational principles of the combined MLA-DPA system.
• Experimental results demonstrated a two-times increase in the FOV range compared to conventional integral imaging systems.

Conclusions:

• The integrated MLA and DPA system offers a viable solution for significantly enhancing the FOV in integral imaging.
• The PDPM method facilitates the practical implementation and reconstruction of EIAs captured by the proposed system.
• This advancement holds potential for improved 3D visualization and capture applications.