DIBR synthesized image quality assessment based on morphological pyramids

摘要: Most Depth Image Based Rendering (DIBR) techniques produce synthesized images which contain non-uniform geometric distortions affecting edges coherency. This type of are challenging for common image quality metrics. Morphological filters maintain important information such as across different resolution levels. There is inherent congruence between the morphological pyramid decomposition scheme and human visual perception. In this paper, multi-scale measure, peak signal-to-noise ratio MP-PSNR, based on proposed evaluation DIBR images. It shown that MPPSNR achieves much higher correlation with judgment compared to state-of-the-art measures in context.