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Proposes an algorithm for improving the image quality of disparity-based intermediate view reconstruction by introducing a reliability measurement for disparity estimates. The reliability of disparity estimates is measured with a criterion based on a-posteriori probability of disparity estimates, in which the displaced image intensity difference and the variation of disparity estimates are taken into account. This reliability measurement is then integrated into an intermediate view reconstruction approach, which guides the recovery of disparity values in occluded areas and the reconstruction of the intermediate views. Experimental results with natural stereoscopic sequences show that the disparity reliability measurement is quite effective. The proposed algorithm improves the image quality of reconstructed intermediate views.