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A locally content-dependent filter for inter-perspective anti-aliasing
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (Realistic3D)ORCID iD: 0000-0003-3751-6089
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (Realistic3D)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (Realistic3D)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (Realistic3D)
2012 (English)In: Proceedings of SPIE - The International Society for Optical Engineering, SPIE - International Society for Optical Engineering, 2012, Art. no. 829006- p.Conference paper, Published paper (Refereed)
Abstract [en]

Presentations on multiview and lightfield displays have become increasingly popular. The restricted number of views implies an unsmooth transition between views if objects with sharp edges are far from the display plane. The phenomenon is explained by inter-perspective aliasing. This is undesirable in applications where a correct perception of the scene is required, such as in science and medicine. Anti-aliasing filters have been proposed in the literature, and are defined according to the minimum and maximum depth present in the scene.  We suggest a method that subdivides the ray-space and adjusts the anti-aliasing filter to the scene contents locally. We further propose new filter kernels based on the ray space frequency domain that assures no aliasing, yet keeping maximum information unaltered. The proposed method outperforms filters of earlier works. Different filter kernels are compared. Details of the output are sharper using a proposed filter kernel, which also preserves the most information.

Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2012. Art. no. 829006- p.
Keyword [en]
3D multiview, inter-perspective aliasing, ray space filtering
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:miun:diva-15803DOI: 10.1117/12.908627ISI: 000304302300005Scopus ID: 2-s2.0-84861921041Local ID: STCISBN: 978-081948937-1 (print)OAI: oai:DiVA.org:miun-15803DiVA: diva2:487373
Conference
3-Dimensional Image Processing (3DIP) and Applications II;Burlingame, CA;24 January 2012through26 January 2012;Code90039
Available from: 2012-02-16 Created: 2012-01-31 Last updated: 2017-08-22Bibliographically approved

Open Access in DiVA

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