Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2012 · 72 citations · 22 references
ComputingVisualizationComputer VisionMachine VisionRendering3D ReconstructionImage QualityImage SynthesisMulti-view GeometryScene ReconstructionStereo VisionDisparity EstimationDisparity Map EstimationFull-reference Quality AssessmentImage Quality MetricsObjective Image Quality MetricsQuality Assessment MetricsView SynthesisVisibility Maps
View synthesis brings geometric distortions which are not handled efficiently by existing image quality assessment metrics. Despite the widespread of 3-D technology and notably 3D television (3DTV) and free-viewpoints television (FTV), the field of view synthesis quality assessment has not yet been widely investigated and new quality metrics are required. In this study, we propose a new full-reference objective quality assessment metric: the View Synthesis Quality Assessment (VSQA) metric. Our method is dedicated to artifacts detection in synthesized view-points and aims to handle areas where disparity estimation may fail: thin objects, object borders, transparency, variations of illumination or color differences between left and right views, periodic objects... The key feature of the proposed method is the use of three visibility maps which characterize complexity in terms of textures, diversity of gradient orientations and presence of high contrast. Moreover, the VSQA metric can be defined as an extension of any existing 2D image quality assessment metric. Experimental tests have shown the effectiveness of the proposed method.
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C. Bovik, Hamid R. Sheikh et al. · IEEE Transactions on Image Processing · 2004 · 56K citations
Multiscale structural similarity for image quality assessment
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A universal image quality index
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