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- W2078986556 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 disparityestimation 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." @default.
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- W2078986556 date "2003-11-01" @default.
- W2078986556 modified "2023-09-24" @default.
- W2078986556 title "Disparity estimation window size" @default.
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- W2078986556 doi "https://doi.org/10.1117/1.1614808" @default.
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