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Model-based Inversion Methods for Compressive Spectral Imaging with Diffractive Lenses

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Abstract

We develop novel model-based inversion methods for compressive spectral imaging with diffractive lenses. These fast image reconstruction methods, exploiting data- adaptive convolutional dictionaries and sparsifying transforms, are applicable to any computational imaging problem with convolutional models.

© 2020 The Author(s)

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More Like This
Unrolling-Based Deep Reconstruction for Compressive Spectral Imaging

Can Deniz Bezek and Figen. S. Oktem
CM2E.3 Computational Optical Sensing and Imaging (COSI) 2021

Convolutional Inverse Problems in Imaging with Convolutional Sparse Models

Didem Dogan and Figen S. Oktem
JW2A.9 Computational Optical Sensing and Imaging (COSI) 2019

Data-driven Models and Approaches for Imaging

Saiprasad Ravishankar and Jeffrey A. Fessler
MW2C.4 Mathematics in Imaging (MATH) 2017

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