Skip to content

Diffractive system for super-resolved image projection with enhanced depth of field

Oct 2026 · Terahertz Emitters, Receivers, and Applications XVII · pp. 27 · 0 citations

Abstract

We present a hybrid image projection framework that achieves pixel super-resolution by integrating a neural network-based digital encoder with a passive diffractive decoder, both jointly optimized. This system utilizes a convolutional neural network to compress high-resolution input data into compact, phase-only representations. These encoded phase patterns are then displayed by a low-resolution projector and optically processed by a series of passive, structurally optimized diffractive layers. The diffractive decoder achieves pixel super-resolution at its output, synthesizing high-fidelity images over an extended depth-of-field with minimal latency and without additional power consumption. Our architecture demonstrates a 16-fold improvement in the effective space-bandwidth product of the image projection system and maintains high image quality across an axial range spanning hundreds of wavelengths. Validated through proof-of-concept experiments in the terahertz and visible parts of the spectrum, this approach provides a scalable, energy-efficient solution for enhancing information throughput in next-generation displays, optical metrology, and microscopy systems.

View source

Similar papers

Conference Oct 2026

End-to-end optical-algorithm co-design for achromatic extended depth-of-field imaging

This paper presents an end-to-end optical-algorithm co-design framework for achromatic extended depth-of-field imaging, targeting the trade-off between spatial resolution, depth of field, and chromatic degradation in high-resolution imaging systems. The proposed framework formulates the phase plate in a Fourier imaging...

Qing Ye, Cheng Zhang, Jia-Xiang Chen et al. · 0 citations
Sep 2026

Adaptive super-resolution in integral imaging with a heterogeneous metalens array.

Integral imaging (InIm) enables 3D displays with continuous parallax and authentic depth cues, representing a highly promising technical solution for true 3D extended reality (XR) displays. However, it suffers from a fundamental trade-off between spatial resolution and field of view (FOV). This study verifies that a he...

Yang Yi, Yi-Fan Ding, Jian-Wen Dong et al. · 0 citations
Preprint Nov 2026

Learned optical compression for single-pixel quantitative phase imaging

Quantitative phase imaging (QPI) reveals optical path-length variations in transparent objects but typically relies on spatially resolved intensity measurements. Here we numerically and experimentally demonstrate learned optical compression for single-pixel QPI, jointly optimizing a diffractive encoder and a digital ne...

A. Portes, Yun-Tian Wang, Che-Yung Shen et al. · 0 citations
Conference Oct 2026

Research on high-quality imaging holographic lenses for zoom systems

This paper reports the development of a high-imaging-quality holographic lens for potential integration into compact zoom systems. The work focuses on fabrication-process optimization, image-distortion correction, performance testing, and imaging-quality improvement. A transmission holographic recording scheme based on...

Yi-Ren Guo, Hong-Yue Gao, Ji-Cheng Liu · 0 citations
Open access Sep 2026

Extended depth-of-focus liquid-crystal-based lens with deterministic forward design based on frozen-wave synthesis.

An extended depth-of-focus (EDOF) lens is essential for overcoming the limited axial response of conventional optical systems, where high-quality imaging is confined to a narrow depth range. However, existing optimized approaches based on phase engineering or inverse design often suffer from limited physical interpreta...

Yi Tan, Zi-Shuo Zhao, Guanzhangao Xiao et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.