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

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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Bibliographic Details
Main Authors: Xiaochuan Wang, Xiaohui Liang, Bailin Yang, Frederick W. B. Li
Format: Article
Language:English
Published: SpringerOpen 2019-03-01
Series:Computational Visual Media
Subjects:
image quality assessment
synthetic image
depth-image-based rendering (DIBR)
convolutional neural network
local image saliency
Online Access:http://link.springer.com/article/10.1007/s41095-019-0131-6

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http://link.springer.com/article/10.1007/s41095-019-0131-6

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