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Tehnicki VjesnikVolume 26, Issue 3, 2019, Pages 603-610

Effective dynamic range evaluation of digital still images in mobile devices(Article)(Open Access)

  • Puškarević, I.,
  • Nedeljković, U.,
  • Novaković, D.,
  • Pinćjer, I.
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  • University of Novi Sad, Faculty of Technical Sciences, Department of Graphic Engineering and Design, Trg Dositeja Obradovića 6, Novi Sad, 21000, Serbia

Abstract

Digital photography has immersed in everyday surroundings through mobile devices which became the most popular tool for taking pictures. However, the compactness of these devices is an obstacle for certain image quality parameters when it comes to usability. The purpose of this paper is to analyze the effective dynamic range of mobile device cameras. We obtained opto-electric conversion function (OECF) measurements according to ISO standard for total and effective dynamic range evaluation. Additionally, the evaluation of effective dynamic range using high dynamic range image construction was performed where algorithms for tone mapping were applied. Our findings indicate little difference in OECF values among different mobile device cameras, as well as for the total dynamic range values. However, when it comes to the effective dynamic range, cameras in these devices show less input-output conversion stability. Additionally, tone mapping indicates that the effective dynamic range is different between devices. © 2019, Strojarski Facultet. All rights reserved.

Author keywords

Digital imagingDynamic rangeImage processingMobile devicesObjective metricsOECFTone mapping

Indexed keywords

Engineering controlled terms:CamerasImage processingISO StandardsMappingMobile computing
Engineering uncontrolled termsDigital imagingDynamic rangeObjective metricsOECFTone mapping
Engineering main heading:Digital devices

Funding details

Funding sponsor Funding number Acronym
35027

  • 1

    The authors wish to thank Radovan Slavuj for his valuable help in revising this paper. This study was supported by the Serbian Ministry of Science and Technological Development, Grant No. 35027.

  • ISSN: 13303651
  • Source Type: Journal
  • Original language: English
  • DOI: 10.17559/TV-20161115091401
  • Document Type: Article
  • Publisher: Strojarski Facultet


© Copyright 2019 Elsevier B.V., All rights reserved.

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