Curriculum learning for ab initio deep learned refractive optics
Deep optical optimization has recently emerged as a new paradigm for designing
computational imaging systems using only the output image as the objective. However, it …
computational imaging systems using only the output image as the objective. However, it …
Minimalist and high-quality panoramic imaging with PSF-aware transformers
High-quality panoramic images with a Field of View (FoV) of 360° are essential for
contemporary panoramic computer vision tasks. However, conventional imaging systems …
contemporary panoramic computer vision tasks. However, conventional imaging systems …
Computational Imaging for Machine Perception: Transferring Semantic Segmentation Beyond Aberrations
Semantic scene understanding with Minimalist Optical Systems (MOS) in mobile and
wearable applications remains a challenge due to the corrupted imaging quality induced by …
wearable applications remains a challenge due to the corrupted imaging quality induced by …
Physics Based Camera Privacy: Lens and Network Co-Design to the Rescue
M Dufraisse, M Carvalho… - Proceedings of the …, 2024 - openaccess.thecvf.com
The wide presence of cameras using automatic image processing has a positive impact on
smart cities and autonomous driving objectives but also poses privacy threats. In this context …
smart cities and autonomous driving objectives but also poses privacy threats. In this context …
Differentiable design of a double-freeform lens with multi-level radial basis functions for extended source irradiance tailoring
H Tang, H Li, Z Feng, Y Luo, X Mao - Optica, 2024 - opg.optica.org
Freeform optics are key for generating prescribed illumination patterns from given sources,
which are crucial for solid-state lighting and machine vision illumination. There is an …
which are crucial for solid-state lighting and machine vision illumination. There is an …
Image quality is not all you want: Task-driven lens design for image classification
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 …
through well-designed camera lenses would lead to superior results. However, we find that …
[HTML][HTML] End-to-end aberration correction network for enhancing miniature microscope resolution
Y Nie, R Su, J Zhang, H Ottevaere - Optics and Lasers in Engineering, 2025 - Elsevier
Miniature microscopes are widely used for in vivo neural activity observation and point-of-
care medical diagnosis, but often suffer from low resolution due to uncorrected optical …
care medical diagnosis, but often suffer from low resolution due to uncorrected optical …
Towards Single-Lens Controllable Depth-of-Field Imaging via All-in-Focus Aberration Correction and Monocular Depth Estimation
Controllable Depth-of-Field (DoF) imaging commonly produces amazing visual effects
based on heavy and expensive high-end lenses. However, confronted with the increasing …
based on heavy and expensive high-end lenses. However, confronted with the increasing …
TaCOS: Task-Specific Camera Optimization with Simulation
C Yan, D Dansereau - arXiv preprint arXiv:2404.11031, 2024 - arxiv.org
The performance of robots in their applications heavily depends on the quality of sensory
input. However, designing sensor payloads and their parameters for specific robotic tasks is …
input. However, designing sensor payloads and their parameters for specific robotic tasks is …
SoK: Security of the Image Processing Pipeline in Autonomous Vehicles
Cameras are crucial sensors for autonomous vehicles. They capture images that are
essential for many safety-critical tasks, including perception. To process these images, a …
essential for many safety-critical tasks, including perception. To process these images, a …