Deep Learning-Based Joint Reconstruction and System Optimization for Single-Shot Compressive Spectral Imaging
U Gundogan, FS Oktem - Computational Optical Sensing and …, 2022 - opg.optica.org
We develop a joint reconstruction and system optimization method for snapshot spectral
imaging with diffractive lenses. The method learns the diffractive lens design parameters …
imaging with diffractive lenses. The method learns the diffractive lens design parameters …
Compressive spectral imaging using diffractive lenses and multi-spectral sensors with learned reconstruction and joint optimization
U Gündoğan - 2022 - open.metu.edu.tr
Compressive spectral imaging aims to reconstruct the entire three-dimensional spectral
cube from a few measurements, ideally with a snapshot capability. Recently various spectral …
cube from a few measurements, ideally with a snapshot capability. Recently various spectral …
DEEP LEARNING-BASED UNROLLED RECONSTRUCTION METHODS FOR COMPUTATIONAL IMAGING
CD Bezek - 2021 - open.metu.edu.tr
Computational imaging is the process of forming images from indirect measurements using
computation. In this thesis, we develop deep learning-based unrolled reconstruction …
computation. In this thesis, we develop deep learning-based unrolled reconstruction …