IEEE Trans Image Process - An analytical model for synthesis distortion estimation in 3D video.

Tópicos

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Resumo

We propose an analytical model to estimate the synthesized view quality in 3D video. The model relates errors in the depth images to the synthesis quality, taking into account texture image characteristics, texture image quality, and the rendering process. Especially, we decompose the synthesis distortion into texture-error induced distortion and depth-error induced distortion. We analyze the depth-error induced distortion using an approach combining frequency and spatial domain techniques. Experiment results with video sequences and coding/rendering tools used in MPEG 3DV activities show that our analytical model can accurately estimate the synthesis noise power. Thus, the model can be used to estimate the rendering quality for different system designs.

Resumo Limpo

propos analyt model estim synthes view qualiti d video model relat error depth imag synthesi qualiti take account textur imag characterist textur imag qualiti render process especi decompos synthesi distort textureerror induc distort deptherror induc distort analyz deptherror induc distort use approach combin frequenc spatial domain techniqu experi result video sequenc codingrend tool use mpeg dv activ show analyt model can accur estim synthesi nois power thus model can use estim render qualiti differ system design

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