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Performance analysis in Lytro camera: Empirical and model based approaches to assess refocusing quality
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems. (Realistic 3D)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems. (Realistic3D)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems. (Realistic3D)ORCID iD: 0000-0003-3751-6089
2014 (English)In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, IEEE conference proceedings, 2014, 559-563 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we investigate the performance of Lytro camera in terms of its refocusing quality. The refocusing quality of the camera is related to the spatial resolution and the depth of field as the contributing parameters. We quantify the spatial resolution profile as a function of depth using empirical and model based approaches. The depth of field is then determined by thresholding the spatial resolution profile. In the model based approach, the previously proposed sampling pattern cube (SPC) model for representation and evaluation of the plenoptic capturing systems is utilized. For the experimental resolution measurements, camera evaluation results are extracted from images rendered by the Lytro full reconstruction rendering method. Results from both the empirical and model based approaches assess the refocusing quality of the Lytro camera consistently, highlighting the usability of the model based approaches for performance analysis of complex capturing systems.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2014. 559-563 p.
Keyword [en]
camera evaluation, Plenoptic capture, resolution analysis
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-21614DOI: 10.1109/ICASSP.2014.6853658ISI: 000343655300113Scopus ID: 2-s2.0-84905247916Local ID: STCOAI: oai:DiVA.org:miun-21614DiVA: diva2:706716
Conference
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)FLORENCE, ITALY, MAY 4-9, 2014
Available from: 2014-03-21 Created: 2014-03-21 Last updated: 2017-08-22Bibliographically approved

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Damghanian, MitraOlsson, RogerSjöström, Mårten
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