Wolfgang Heidrich
YOU?
Author Swipe
View article: High-throughput space-time Fourier ptychography for motile microorganisms
High-throughput space-time Fourier ptychography for motile microorganisms Open
High-fidelity imaging of live microorganisms is essential for understanding dynamic biological processes but remains limited by motion blur and insufficient temporal resolution. We present a space-time Fourier ptychography (ST-FP) system o…
View article: Bayesian seismic inversion with implicit neural representations
Bayesian seismic inversion with implicit neural representations Open
SUMMARY Seismic inversion translates seismic data into subsurface elastic property models, enabling geophysicists to better understand underground rocks and fluids. Due to the inherently ill-posed nature of this inverse problem, accurately…
View article: Fovea Stacking: Imaging with Dynamic Localized Aberration Correction
Fovea Stacking: Imaging with Dynamic Localized Aberration Correction Open
The desire for cameras with smaller form factors has recently lead to a push for exploring computational imaging systems with reduced optical complexity such as a smaller number of lens elements. Unfortunately such simplified optical syste…
View article: Large-Area Fabrication-Aware Computational Diffractive Optics
Large-Area Fabrication-Aware Computational Diffractive Optics Open
Differentiable optics, as an emerging paradigm that jointly optimizes optics and (optional) image processing algorithms, has made innovative optical designs possible across a broad range of applications. Many of these systems utilize diffr…
View article: Coded wavefront sensing for video-rate quantitative phase imaging and tomography: validation with digital holographic microscopy
Coded wavefront sensing for video-rate quantitative phase imaging and tomography: validation with digital holographic microscopy Open
We demonstrate coded wavefront sensing (Coded WFS) for video-rate quantitative phase imaging and 3D refractive index (RI) tomography of biological specimens. To evaluate the accuracy, we implement an experimental setup that supports measur…
View article: Coded wavefront sensing for video-rate quantitative phase imaging and tomography: validation with digital holographic microscopy
Coded wavefront sensing for video-rate quantitative phase imaging and tomography: validation with digital holographic microscopy Open
We demonstrate coded wavefront sensing (Coded WFS) for video-rate quantitative phase imaging and 3D refractive index (RI) tomography of biological specimens. To evaluate the accuracy, we implement an experimental setup that supports measur…
View article: Learned off-aperture Encoding for Wide Field-of-view RGBD Imaging
Learned off-aperture Encoding for Wide Field-of-view RGBD Imaging Open
End-to-end (E2E) designed imaging systems integrate coded optical designs with decoding algorithms to enhance imaging fidelity for diverse visual tasks. However, existing E2E designs encounter significant challenges in maintaining high ima…
View article: Limitations of Data-Driven Spectral Reconstruction: An Optics-Aware Analysis
Limitations of Data-Driven Spectral Reconstruction: An Optics-Aware Analysis Open
View article: End-to-end Optimization of Fluidic Lenses
End-to-end Optimization of Fluidic Lenses Open
View article: Seismic Reservoir Characterization With Implicit Neural Representations
Seismic Reservoir Characterization With Implicit Neural Representations Open
Seismic reservoir characterization refers to a set of techniques aimed at estimating static and/or dynamic physical properties of subsurface geological formations from seismic data, with applications ranging from exploration and developmen…
View article: Split-Aperture 2-in-1 Computational Cameras
Split-Aperture 2-in-1 Computational Cameras Open
While conventional cameras offer versatility for applications ranging from amateur photography to autonomous driving, computational cameras allow for domain-specific adaption. Cameras with co-designed optics and image processing algorithms…
View article: Latent Space Imaging
Latent Space Imaging Open
Digital imaging systems have traditionally relied on brute-force measurement and processing of pixels arranged on regular grids. In contrast, the human visual system performs significant data reduction from the large number of photorecepto…
View article: NeST: Neural Stress Tensor Tomography by leveraging 3D Photoelasticity
NeST: Neural Stress Tensor Tomography by leveraging 3D Photoelasticity Open
Photoelasticity enables full-field stress analysis in transparent objects through stress-induced birefringence. Existing techniques are limited to 2D slices and require destructively slicing the object. Recovering the internal 3D stress di…
View article: HDNet: Physics-Inspired Neural Network for Flow Estimation based on Helmholtz Decomposition
HDNet: Physics-Inspired Neural Network for Flow Estimation based on Helmholtz Decomposition Open
Flow estimation problems are ubiquitous in scientific imaging. Often, the underlying flows are subject to physical constraints that can be exploited in the flow estimation; for example, incompressible (divergence-free) flows are expected f…
View article: End-to-End Hybrid Refractive-Diffractive Lens Design with Differentiable Ray-Wave Model
End-to-End Hybrid Refractive-Diffractive Lens Design with Differentiable Ray-Wave Model Open
Hybrid refractive-diffractive lenses combine the light efficiency of refractive lenses with the information encoding power of diffractive optical elements (DOE), showing great potential as the next generation of imaging systems. However, a…
View article: Neural étendue expander for ultra-wide-angle high-fidelity holographic display
Neural étendue expander for ultra-wide-angle high-fidelity holographic display Open
Holographic displays can generate light fields by dynamically modulating the wavefront of a coherent beam of light using a spatial light modulator, promising rich virtual and augmented reality applications. However, the limited spatial res…
View article: Limitations of Data-Driven Spectral Reconstruction -- An Optics-Aware Analysis
Limitations of Data-Driven Spectral Reconstruction -- An Optics-Aware Analysis Open
Hyperspectral imaging empowers machine vision systems with the distinct capability of identifying materials through recording their spectral signatures. Recent efforts in data-driven spectral reconstruction aim at extracting spectral infor…
View article: MetaISP -- Exploiting Global Scene Structure for Accurate Multi-Device Color Rendition
MetaISP -- Exploiting Global Scene Structure for Accurate Multi-Device Color Rendition Open
Image signal processors (ISPs) are historically grown legacy software systems for reconstructing color images from noisy raw sensor measurements. Each smartphone manufacturer has developed its ISPs with its own characteristic heuristics fo…
View article: IntraSeismic: a coordinate-based learning approach to seismic inversion
IntraSeismic: a coordinate-based learning approach to seismic inversion Open
Seismic imaging is the numerical process of creating a volumetric representation of the subsurface geological structures from elastic waves recorded at the surface of the Earth. As such, it is widely utilized in the energy and construction…
View article: QR-Tag: Angular Measurement and Tracking with a QR-Design Marker
QR-Tag: Angular Measurement and Tracking with a QR-Design Marker Open
Directional information measurement has many applications in domains such as robotics, virtual and augmented reality, and industrial computer vision. Conventional methods either require pre-calibration or necessitate controlled environment…
View article: Clustering-based Self-supervised Compressive Spectral Imaging using Positional-encoding Representation
Clustering-based Self-supervised Compressive Spectral Imaging using Positional-encoding Representation Open
This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.
View article: Clustering-based Self-supervised Compressive Spectral Imaging using Positional-encoding Representation
Clustering-based Self-supervised Compressive Spectral Imaging using Positional-encoding Representation Open
This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.
View article: Dataset and code for automated classical and EDoF lens design
Dataset and code for automated classical and EDoF lens design Open
This file includes (1) automated classical lens design code and (2) test images and reconstruction network checkpoints for EDoF imaging.
View article: Dataset and code for automated classical and EDoF lens design
Dataset and code for automated classical and EDoF lens design Open
This file includes (1) automated classical lens design code and (2) test images and reconstruction network checkpoints for EDoF imaging.
View article: ∂H$\bm{\partial }\mathbf {H}$: Differentiable Holography
∂H$\bm{\partial }\mathbf {H}$: Differentiable Holography Open
Over the past decade, the field of holography has gained significant ground due to advances in computational imaging. However, the utilization of computational tools is hampered by the mismatch between experimental setups and the conceptua…
View article: Aberration-Aware Depth-From-Focus
Aberration-Aware Depth-From-Focus Open
Computer vision methods for depth estimation usually use simple camera models with idealized optics. For modern machine learning approaches, this creates an issue when attempting to train deep networks with simulated data, especially for f…
View article: MoiréTag: Angular Measurement and Tracking with a Passive Marker
MoiréTag: Angular Measurement and Tracking with a Passive Marker Open
Stable, low-cost, and precise visual measurement of directional information has many applications in domains such as virtual and augmented reality, visual odometry, or industrial computer vision. Conventional approaches like checkerboard p…
View article: ∂H: Differentiable Holography
∂H: Differentiable Holography Open
Over the past decade, the field of holography has gained significant ground due to advances in computational imaging. However, the utilization of computational tools is hampered by the mismatch between experimental setups and the conceptua…
View article: Image Quality Is Not All You Want: Task-Driven Lens Design for Image Classification
Image Quality Is Not All You Want: Task-Driven Lens Design for Image Classification Open
In computer vision, it has long been taken for granted that high-quality images obtained through well-designed camera lenses would lead to superior results. However, we find that this common perception is not a "one-size-fits-all" solution…
View article: Differentiable Holography
Differentiable Holography Open