Active Short-Long Exposure Deblurring

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Abstract

Mobile phones can capture image bursts to produce high quality still photographs. The simplest form of a burst is two frame short-long (S-L) exposure. S-L exposure is particularly suitable in low light conditions where short exposure frames are sharp but noisy and dark, and long exposure frames are affected by motion blur but have better scene chromaticity and luminance. In this work, we take a step further and define active short-long exposure deblurring where the viewfinder frames before the burst are used to optimize the S-L exposure parameters. We introduce deep architectures and data generation for active S-L exposure deblurring. The approach is experimentally validated with realistic data and it shows clear improvements. For the most difficult scenes (worst 5%) the PSNR is improved by +1.39dB.

Original languageEnglish
Title of host publication2022 26th International Conference on Pattern Recognition, ICPR 2022
PublisherIEEE
Pages281-287
Number of pages7
ISBN (Electronic)9781665490627
DOIs
Publication statusPublished - 2022
Publication typeA4 Article in conference proceedings
EventInternational Conference on Pattern Recognition - Montreal, Canada
Duration: 21 Aug 202225 Aug 2022

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume2022-August
ISSN (Print)1051-4651

Conference

ConferenceInternational Conference on Pattern Recognition
Country/TerritoryCanada
CityMontreal
Period21/08/2225/08/22

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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