Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Convolutional Inverse Problems in Imaging with Convolutional Sparse Models

Not Accessible

Your library or personal account may give you access

Abstract

We develop a fast reconstruction method with convolutional sparse models for general inverse problems involving convolutions. The effectiveness of the reconstruction method is demonstrated for an inverse problem in computational spectral imaging.

© 2019 The Author(s)

PDF Article
More Like This
Model-based Inversion Methods for Compressive Spectral Imaging with Diffractive Lenses

Didem Dogan and Figen S. Oktem
CW4B.4 Computational Optical Sensing and Imaging (COSI) 2020

Tridimensional Convolutional Sparse Coding of Spectral Images

C. Barajas-Solano, J.M. Ramirez, H. Garcia, and H. Arguello
HTu3B.5 Hyperspectral Imaging and Sounding of the Environment (HISE) 2019

Location Estimation for Light Field Microscopy based on Convolutional Sparse Coding

Pingfan Song, Herman Verinaz Jadan, Peter Quicke, Carmel L. Howe, Amanda J. Foust, and Pier Luigi Dragotti
MM2D.2 Mathematics in Imaging (MATH) 2019

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved