3D Video Quality Assessment

Hanhart, Philippe; Simone, F.; Řeřábek, Martin; Ebrahimi, Touradj

doi:10.1002/9781118583593.ch19

Cited by 5 publications

(1 citation statement)

References 31 publications

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“…16 Their implementation is publicly available: PSNR and SSIM in the video quality measurement tool, 17 iCID in the supplementary material of. 16 We summarize the mechanism of these metrics as follows PSNR: The PSNR between two images A and B is defined by P SN R(A, B) = 20 log 10 max I RM SE(A, B)…”

Section: Data Sets and Evaluation Metricsmentioning

confidence: 99%

Automatic color correction: region-based approach and performance evaluation using full reference metrics

Beucher

Bilodeau

et al. 2015

J. Electron. Imaging

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Abstract. This article proposes a solution to automatic color correction between two images/videos based on region correspondences. It starts with image segmentation by marker-controlled watershed transformation, which is faster and produces more uniform regions with better adherence to object boundaries than the segmentation in previous color correction approaches. Then, regions between two images are matched using point feature correspondences which are invariant to geometric transformation and illumination change. Finally, the color distorted image is corrected using the color statistics of corresponding regions and the color transfer functions weighted by influence masks. We demonstrate the experimental results using several data sets and evaluate the color correction by different measures of image similarity.

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Section: Data Sets and Evaluation Metricsmentioning

confidence: 99%

Automatic color correction: region-based approach and performance evaluation using full reference metrics

Beucher

Bilodeau

et al. 2015

J. Electron. Imaging

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No-reference perceptual blur metric for stereoscopic images

Fezza¹,

Larabi²

2014

2014 International Conference on 3D Imaging (IC3D)

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International audienceIn this paper, we propose a no-reference perceptual blur metric for 3D stereoscopic images. The proposed approach relies on computing perceptual local blurriness map for each image of the stereo pair. To take into account the disparity/depth masking effect, we modulate the obtained perceptual score at each position of the blurriness maps according to its location in the scene. Under the assumption that, in case of asymmetric stereoscopic image quality, 3D perception mechanisms place more emphasis on the view providing the most important and contrasted information, the two derived local blurriness maps are combined using weighting factors based on local information content. Thanks to the inclusion of those psychophysical findings, the proposed metric handles efficiently symmetric as well as asymmetric distortions. Experimental results show that the proposed metric correlates better with human perception than state-of-the-art metrics

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Subjective quality assessment of mobile 3D videos

Fan

Jiang

2014

2014 Sixth International Workshop on Quality of Multimedia Experience (QoMEX)

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3D Video Quality Assessment

Cited by 5 publications

References 31 publications

Automatic color correction: region-based approach and performance evaluation using full reference metrics

Automatic color correction: region-based approach and performance evaluation using full reference metrics

No-reference perceptual blur metric for stereoscopic images

Subjective quality assessment of mobile 3D videos

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