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Over- and Under-Exposure Reconstruction of a Single Plenoptic Capture

Published: 22 May 2018 Publication History

Abstract

Light field images, for example, taken with plenoptic cameras, offer interesting post-processing opportunities, including depth-of-field management, depth estimation, viewpoint selection, and 3D image synthesis. Like most capture devices, however, plenoptic cameras have a limited dynamic range, so that over- and under-exposed areas in plenoptic images are commonplace. We therefore present a straightforward and robust plenoptic reconstruction technique based on the observation that vignetting causes peripheral views to receive less light than central views. Thus, corresponding pixels in different views can be used to reconstruct illumination, especially in areas where information missing in one view is present in another. Our algorithm accurately reconstructs under- and over-exposed regions (known as declipping), additionally affording an increase in peak luminance by up to two f-stops, and a comparable lowering of the noise floor. The key advantages of this approach are that no hardware modifications are necessary to improve the dynamic range, that no multiple exposure techniques are required, and therefore that no ghosting or other artifacts are introduced.

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cover image ACM Transactions on Multimedia Computing, Communications, and Applications
ACM Transactions on Multimedia Computing, Communications, and Applications  Volume 14, Issue 2
May 2018
208 pages
ISSN:1551-6857
EISSN:1551-6865
DOI:10.1145/3210458
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 22 May 2018
Accepted: 01 March 2018
Revised: 01 February 2018
Received: 01 August 2017
Published in TOMM Volume 14, Issue 2

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Author Tags

  1. Light field acquisition
  2. declipping
  3. dynamic range
  4. light field reconstruction
  5. over-exposure
  6. under-exposure

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  • Research-article
  • Research
  • Refereed

Funding Sources

  • National Natural Science Foundation of China
  • MSRA Collaborative Research
  • Alibaba Innovative Research

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Cited By

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  • (2023)Structure-embedded ghosting artifact suppression network for high dynamic range image reconstructionKnowledge-Based Systems10.1016/j.knosys.2023.110278263(110278)Online publication date: Mar-2023
  • (2020)3d Dynamic Point Cloud Inpainting Via Temporal Consistency On Graphs2020 IEEE International Conference on Multimedia and Expo (ICME)10.1109/ICME46284.2020.9102861(1-6)Online publication date: Jul-2020
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  • (2019)Lightweight and Accurate Memory Allocation in Key-Value CacheInternational Journal of Parallel Programming10.1007/s10766-018-0616-447:3(451-466)Online publication date: 1-Jun-2019

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