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Optical Engineering

Disparity estimation window size
Author(s): Tamas Frajka; Kenneth Zeger
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Paper Abstract

Disparity estimation plays a crucial role in many stereo image compression techniques. To reduce computational complexity most methods limit the estimation search area to a limited window. The performance of the disparity estimation depends on the choice of the limited search window. Most techniques use a predetermined value for the window size, which is not optimal over a wide range of images. We show how the choice of the window size affects the performance of the stereo image compression algorithm and propose a method to obtain a better search window size. Our simulation results indicate an improvement of up to 1.81 dB over rigid window size selection and with performance very close to the optimal selection.

Paper Details

Date Published: 1 November 2003
PDF: 8 pages
Opt. Eng. 42(11) doi: 10.1117/1.1614808
Published in: Optical Engineering Volume 42, Issue 11
Show Author Affiliations
Tamas Frajka, Univ. of California/San Diego (United States)
Kenneth Zeger, Univ. of California/San Diego (United States)

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