Rendered virtual view image objective quality assessment

Gang Lu; Xiangchun Li; Yi Zhang; Kai Peng

doi:10.1117/12.2032428

30 August 2013 Rendered virtual view image objective quality assessment

Gang Lu, Xiangchun Li, Yi Zhang, Kai Peng

Proceedings Volume 8910, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Spectrometer Technologies and Applications; 89100F (2013) https://doi.org/10.1117/12.2032428
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China

Abstract

The research on rendered virtual view image (RVVI) objective quality assessment is important for integrated imaging system and image quality assessment (IQA). Traditional IQA algorithms cannot be applied directly on the system receiver-side due to interview displacement and the absence of original reference. This study proposed a block-based neighbor reference (NbR) IQA framework for RVVI IQA. Neighbor views used for rendering are employed for quality assessment in the proposed framework. A symphonious factor handling noise and interview displacement is defined and applied to evaluate the contribution of the obtained quality index in each block pair. A three-stage experiment scheme is also presented to testify the proposed framework and evaluate its homogeneity performance when comparing to full reference IQA. Experimental results show the proposed framework is useful in RVVI objective quality assessment at system receiver-side and benchmarking different rendering algorithms.

Citation Download Citation

Gang Lu, Xiangchun Li, Yi Zhang, and Kai Peng "Rendered virtual view image objective quality assessment", Proc. SPIE 8910, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Spectrometer Technologies and Applications, 89100F (30 August 2013); https://doi.org/10.1117/12.2032428

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KEYWORDS

Image quality

Image processing

Image compression

Imaging systems

3D displays

3D image processing

Integral imaging

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