10 April 2018 Synthesized view comparison method for no-reference 3D image quality assessment
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Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 1061550 (2018) https://doi.org/10.1117/12.2302916
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China
Abstract
We develop a no-reference image quality assessment metric to evaluate the quality of synthesized view rendered from the Multi-view Video plus Depth (MVD) format. Our metric is named Synthesized View Comparison (SVC), which is designed for real-time quality monitoring at the receiver side in a 3D-TV system. The metric utilizes the virtual views in the middle which are warped from left and right views by Depth-image-based rendering algorithm (DIBR), and compares the difference between the virtual views rendered from different cameras by Structural SIMilarity (SSIM), a popular 2D full-reference image quality assessment metric. The experimental results indicate that our no-reference quality assessment metric for the synthesized images has competitive prediction performance compared with some classic full-reference image quality assessment metrics.
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Fangzhou Luo, Fangzhou Luo, Chaoyi Lin, Chaoyi Lin, Xiaodong Gu, Xiaodong Gu, Xiaojun Ma, Xiaojun Ma, } "Synthesized view comparison method for no-reference 3D image quality assessment", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 1061550 (10 April 2018); doi: 10.1117/12.2302916; https://doi.org/10.1117/12.2302916
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