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Contrary to uniform local averaging, we propose non-linear approach for precise sparse depth map extraction. Noisy focus measurements are replaced with estimated values. This helps to compute accurate 3D shape while preserving edges of objects.
Generally, impulse noise filtering schemes consider all pixels within a large neighborhood. However, the estimate from all pixels within the neighborhood may not be accurate. Moreover, large window may remove edges and fine details. In contrast to this approach, we propose iterative impulse noise removal scheme that emphasizes on few noise-free pixels within a small neighborhood. This iterative process...
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