[Optical Engineering, to appear November 2003]
Disparity Estimation Window Size
Tamás Frajka and Kenneth Zeger
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 0.9dB
over rigid window size selection and with performance very close to the optimal selection.