HDR imaging from quantization noise
File(s)
Accepted version
Author(s)
Bhandari, Ayush
Krahmer, Felix
Type
Conference Paper
Abstract
Quantization is an integral part of image acquisition but also a major performance bottleneck due to the trade-off between dynamic range and resolution. As we discuss in this paper, in contrast, quantization noise can be acquired reliably even beyond the dynamic range by re-purposing recent hardware development. In this paper, we introduce and mathematically analyze an algorithm to recover images from this information, thus giving rise to a novel, single-shot, high-dynamic-range (HDR) imaging approach. Our method directly works with a refined model for sensor outputs at the digitization stage and crucially exploits smoothing anti-aliasing artifacts. We derive recovery guarantees and demonstrate the validity of our approach via computer experiments. Our work suggests re-thinking of the imaging pipeline as seeming sensing artifacts can lead to improved reconstruction when combined with proper computational methodology.
Date Issued
2020-09-30
Date Acceptance
2020-09-01
Citation
2020 IEEE International Conference on Image Processing (ICIP), 2020, pp.101-105
ISSN
1522-4880
Publisher
IEEE
Start Page
101
End Page
105
Journal / Book Title
2020 IEEE International Conference on Image Processing (ICIP)
Copyright Statement
Copyright © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000646178500020&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Source
IEEE International Conference on Image Processing (ICIP)
Subjects
Analog-to-digital
computational imaging
high-dynamic-range imaging
Imaging Science & Photographic Technology
quantization
sampling
Science & Technology
shift-invariant spaces
Technology
Publication Status
Published
Start Date
2020-09-25
Finish Date
2020-09-28
Coverage Spatial
Abu Dhabi, United Arab (Virtual)