Depth-image-based-rendering (DIBR) techniques are significant for view synthesis. However, such technique mayintroduce challenging distortions. Unlike traditional uniform artifacts, the distortions of the synthesized could be localand non-uniform, thus are challenging for traditional image quality assessment metrics. To tackle this problem, aiming atthe geometric distortions, a no reference quality assessment for DIBR-synthesized images is proposed in this paper. First,considering that the hue distribution of disoccluded regions is different from that of the natural image, the disoccludedregions are extracted from the hue difference map. The disoccluded regions with different sizes are calculated adaptivelyby overlapping the hue difference map according to the distortion intensity based on the progressive layer partitioningprinciple. Second, the artifacts of edges are measured as the distance between the patches at critical regions and theirdown-sampled versions based on the property of scale invariance. Finally, the perceptual quality is estimate by linearlypooling the scores of two geometric distortions together. The experimental results show that the PLCC, SRCC, RMSE ofthe proposed model are 0.7613, 0.6965, and 0.4244, respectively. In summary, the proposed metric achieves higherperformance, but lower computational complexity than other models.
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