At the intersection of optics and deep learning: statistical inference, computing, and inverse design
Deep learning has been revolutionizing information processing in many fields of science
and engineering owing to the massively growing amounts of data and the advances in deep …
and engineering owing to the massively growing amounts of data and the advances in deep …
Deep spatial-angular regularization for light field imaging, denoising, and super-resolution
Coded aperture is a promising approach for capturing the 4-D light field (LF), in which the 4-
D data are compressively modulated into 2-D coded measurements that are further decoded …
D data are compressively modulated into 2-D coded measurements that are further decoded …
Computational imaging and artificial intelligence: The next revolution of mobile vision
Signal capture is at the forefront of perceiving and understanding the environment; thus,
imaging plays a pivotal role in mobile vision. Recent unprecedented progress in artificial …
imaging plays a pivotal role in mobile vision. Recent unprecedented progress in artificial …
Multi-layer scene representation from composed focal stacks
R Ishikawa, H Saito, D Kalkofen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multi-layer images are a powerful scene representation for high-performance rendering in
virtual/augmented reality (VR/AR). The major approach to generate such images is to use a …
virtual/augmented reality (VR/AR). The major approach to generate such images is to use a …
Efficient light field reconstruction via spatio-angular dense network
As an image sensing instrument, light field images can supply extra angular information
compared with monocular images and have facilitated a wide range of measurement …
compared with monocular images and have facilitated a wide range of measurement …
Deep spatial-angular regularization for compressive light field reconstruction over coded apertures
Coded aperture is a promising approach for capturing the 4-D light field (LF), in which the 4-
D data are compressively modulated into 2-D coded measurements that are further decoded …
D data are compressively modulated into 2-D coded measurements that are further decoded …
Acquiring a dynamic light field through a single-shot coded image
R Mizuno, K Takahashi, M Yoshida… - Proceedings of the …, 2022 - openaccess.thecvf.com
We propose a method for compressively acquiring a dynamic light field (a 5-D volume)
through a single-shot coded image (a 2-D measurement). We designed an imaging model …
through a single-shot coded image (a 2-D measurement). We designed an imaging model …
Learning wavefront coding for extended depth of field imaging
Depth of field is an important factor of imaging systems that highly affects the quality of the
acquired spatial information. Extended depth of field (EDoF) imaging is a challenging ill …
acquired spatial information. Extended depth of field (EDoF) imaging is a challenging ill …
Multi-dimensional hypercomplex continuous orthogonal moments for light-field images
C Wang, Q Zhang, Z Xia, L Zhou, Z Wei… - Expert Systems with …, 2023 - Elsevier
Image moments have always been topical in the domain of image processing, and the
proposed hypercomplex moments and multi-channel moments have greatly broadened the …
proposed hypercomplex moments and multi-channel moments have greatly broadened the …
Deep Optics for Video Snapshot Compressive Imaging
Video snapshot compressive imaging (SCI) aims to capture a sequence of video frames with
only a single shot of a 2D detector, whose backbones rest in optical modulation patterns …
only a single shot of a 2D detector, whose backbones rest in optical modulation patterns …