Abstract
A fast disparity estimation algorithm based on a pixel-based approach for intermediate view reconstruction (IVR) is proposed. The proposed algorithm uses the matching property of stereo imaging: in stereo images, the disparity vector of a pixel is located between those of previous and subsequent pixels. According to the experiments, the proposed algorithm can reduce the computational complexity by about 8 times and achieves competitive or slightly better peak signal-to-noise ratio (PSNR) in comparison with the pixel-based full search approach. The algorithm is proven to be effective in the implementation of the real-time disparity estimation processor for arbitrary 720×480 stereo images.
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