1 November 2003 Disparity estimation window size
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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.
© (2003) Society of Photo-Optical Instrumentation Engineers (SPIE)
Tamas Frajka, Tamas Frajka, Kenneth Zeger, Kenneth Zeger, } "Disparity estimation window size," Optical Engineering 42(11), (1 November 2003). https://doi.org/10.1117/1.1614808 . Submission:

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