Li, Sumei and Xiang, Wei and Cheng, Fuwei and Zhao, Ruichao and Hou, Chunping (2010) HVS-based quality assessment metrics for 3-D images. In: 2nd WRI Global Congress on Intelligent Systems (GCIS 2010) , 16-17 Dec 2010, Wuhan, China.
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Identification Number or DOI: doi: 10.1109/GCIS.2010.273
Significant efforts from both the academia and industry have been devoted to advance three-dimensional (3-D) imaging technologies. However, accurate and easy-to-use visual quality assessment metrics still lack for 3-D images. In this paper, we propose three objective quality assessment metrics for 3-D images taking into consideration a set of relevant visual characteristic factors, including contrast sensitivity, multichannel and binocular parallax characteristics. The human visual signal-to-noise ratio (HVSNR), parallax distortion ratio (PDR), and different peak signal-to-noise ratio (DPSNR) are the three independent objective quality assessment metrics proposed in this paper. Experimental results show that the quality assessment results based upon the proposed metrics are consistent with the quality grades obtained by subjective assessment.
|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|Additional Information:||Copyright and Reprint Permissions: Abstracting is permitted with credit to the source.|
|Uncontrolled Keywords:||3-D image; quality assessment; binocular parallax; contrast sensitivity; human visual signal-to-noise ratio (HVSNR)|
|Fields of Research (FOR2008):||09 Engineering > 0906 Electrical and Electronic Engineering > 090606 Photonics and Electro-Optical Engineering (excl. Communications)|
09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
|Socio-Economic Objective (SEO2008):||E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering|
|Deposited On:||12 Mar 2012 22:09|
|Last Modified:||13 Mar 2012 09:37|
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