Year: 2026
Type: article
Abstract: ABSTRACT Cascaded holographic architectures offer enhanced functionality for optical information processing, encryption, and multiplexing, but their practical implementation is severely limited by extreme sensitivity to interlayer alignment. Here, we demonstrate a dynamic cascaded holography platform using commercial phase‐only spatial light modulators by introducing a robust optimization framework that explicitly incorporates random misalignment errors into the wave propagation model. By optimizing phase patterns over diverse alignment conditions, the resulting holograms maintain stable reconstruction performance under lateral displacements of up to ∼100 pixels. Using this approach, we experimentally demonstrate robust holographic secret‐sharing, wavelength‐selective reconstruction, and high‐capacity information multiplexing with high‐fidelity image reconstruction. Furthermore, deep neural networks are employed to substantially reduce the computational overhead associated with robust phase optimization. These results establish a practical route toward scalable dynamic cascaded holography for optical encryption, holographic communication, and programmable wavefront engineering.
Source: Laser & Photonics Review
DOI: 10.1002/lpor.72192
Authors: Gyeongsu Jin, Seokmin Kim, Seung‐Yeol Lee
Institution: Kyungpook National University
Language: English
Subfield: Media Technology
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,880
OpenAlex ID: W7225613843