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 …
Snapshot spectral imaging: from spatial-spectral mapping to metasurface-based imaging
K Ding, M Wang, M Chen, X Wang, K Ni, Q Zhou… - …, 2024 - degruyter.com
Snapshot spectral imaging technology enables the capture of complete spectral information
of objects in an extremely short period of time, offering wide-ranging applications in fields …
of objects in an extremely short period of time, offering wide-ranging applications in fields …
Revealing the preference for correcting separated aberrations in joint optic-image design
The joint design of the optical system and the downstream algorithm is a challenging and
promising task. Due to the demand for balancing the global optima of imaging systems and …
promising task. Due to the demand for balancing the global optima of imaging systems and …
Investigating deep optics model representation in affecting resolved all-in-focus image quality and depth estimation fidelity
The end-to-end (E2E) optimization of optics and image processing, dubbed deep optics, has
renewed the state-of-the-art in various computer vision tasks. However, specifying the …
renewed the state-of-the-art in various computer vision tasks. However, specifying the …
Computational Spectral Imaging with Unified Encoding Model and Beyond
Computational spectral imaging is drawing increasing attention owing to the snapshot
advantage and amplitude phase and wavelength encoding systems are three types of …
advantage and amplitude phase and wavelength encoding systems are three types of …
Dispersed Structured Light for Hyperspectral 3D Imaging
Hyperspectral 3D imaging aims to acquire both depth and spectral information of a scene.
However existing methods are either prohibitively expensive and bulky or compromise on …
However existing methods are either prohibitively expensive and bulky or compromise on …
Elimination of varying chromatic aberrations based on diffractive optics
H Hu, T Jiang, Y Chen, Z Xu, Q Li, H Feng - Optics Express, 2023 - opg.optica.org
In telescopic systems consisting of Alvarez lenses, chromatic aberrations vary with the
magnifications and the fields of view. Computational imaging has developed rapidly in …
magnifications and the fields of view. Computational imaging has developed rapidly in …
Split-Aperture 2-in-1 Computational Cameras
While conventional cameras offer versatility for applications ranging from amateur
photography to autonomous driving, computational cameras allow for domain-specific …
photography to autonomous driving, computational cameras allow for domain-specific …
Computational Spectral Imaging with Unified Encoding Model: A Comparative Study and Beyond
Computational spectral imaging is drawing increasing attention owing to the snapshot
advantage, and amplitude, phase, and wavelength encoding systems are three types of …
advantage, and amplitude, phase, and wavelength encoding systems are three types of …
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 …