No-reference synthetic image quality assessment with convolutional neural network and local image saliency

Abstract Depth-image-based rendering (DIBR) is widely used in 3DTV, free-viewpoint video, and interactive 3D graphics applications. Typically, synthetic images generated by DIBR-based systems incorporate various distortions, particularly geometric distortions induced by object dis-occlusion. Ensurin...

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Detalhes bibliográficos

Principais autores:	Xiaochuan Wang, Xiaohui Liang, Bailin Yang, Frederick W. B. Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Tsinghua University Press 2019-03-01
Colecção:	Computational Visual Media
Assuntos:	image quality assessment synthetic image depth-image-based rendering (DIBR) convolutional neural network local image saliency
Acesso em linha:	http://link.springer.com/article/10.1007/s41095-019-0131-6
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