The Inverse Problems You Carry in Your Pocket

In the spaces between data-hungry generative models and measurement-rich computational imaging, we can find the field of computational photography. Can cell phone cameras be an accessible and affordable bridge between modern computer vision and traditional inverse imaging problems?

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Publication Details

Journal
XRDS Crossroads The ACM Magazine for Students
Published
2024-12-01
DOI
https://doi.org/10.1145/3703405
Primary Topic
Sparse and Compressive Sensing Techniques
Type
article
Field-Weighted Citation Impact
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article

The Inverse Problems You Carry in Your Pocket

Ilya Chugunov
XRDS Crossroads The ACM Magazine for Students
Sparse and Compressive Sensing Techniques
article

The Inverse Problems You Carry in Your Pocket

Ilya Chugunov
article en

Abstract

In the spaces between data-hungry generative models and measurement-rich computational imaging, we can find the field of computational photography. Can cell phone cameras be an accessible and affordable bridge between modern computer vision and traditional inverse imaging problems?

XRDS Crossroads The ACM Magazine for StudentsVol. 31(2)
Princeton University (US)
Openalex Percentile: Top 73%
Sparse and Compressive Sensing Techniques
DOISourceOpenAlex
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The Inverse Problems You Carry in Your Pocket — Ilya Chugunov · XRDS Crossroads The ACM Magazine for Students (2024) | TGRS Research Map | TGRS