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Proceedings Paper

On the passband of head-parallax displays
Author(s): Atanas Boev; Robert Bregovic
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Paper Abstract

We present a methodology to assess objective visual quality of multi-view and light-field displays. We consider the display as a signal processing channel and study its ability to deliver a signal while introducing negligible distortions. We start by creating a model of a display, which represents its output as a set of rays in a specific (x, y, o) coordinate space. We created a simulation framework that can use the model and render the expected output of the display for a given observation position. The framework employs an image analysis block, which aims to predict the perceptual effect of the introduced distortions and judge if the original signal is still predominant in the output. Using the framework, we can try a large set of test signals against the display model and find the ones, which are represented with sufficiently low distortion levels. We use test signals, which contain gradually changing frequency components, and use the results of the tests to build the so-called 3D passband of the display. The 3D passband can be used as a quantitative measure of the display’s ability to faithfully represent image details. The size of the passband is indicative of the spatial and angular resolution of the display. We created two display models to serve as an example case for out framework. One model represents a typical multiview display, and the other is representing a typical projection-based light-field display. We estimate the passband for each display model and present the results. The resulting passbands suggest, that for a given “ray-budget”, the ray distribution typical for light-field displays results on a wider and more uniform passband than in the case with multiview displays.

Paper Details

Date Published: 25 February 2014
PDF: 10 pages
Proc. SPIE 9019, Image Processing: Algorithms and Systems XII, 901902 (25 February 2014); doi: 10.1117/12.2047705
Show Author Affiliations
Atanas Boev, Tampere Univ. of Technology (Finland)
Robert Bregovic, Tampere Univ. of Technology (Finland)

Published in SPIE Proceedings Vol. 9019:
Image Processing: Algorithms and Systems XII
Karen O. Egiazarian; Sos S. Agaian; Atanas P. Gotchev, Editor(s)

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