A Survey of Stereoscopic 3D Just Noticeable Difference Models
Just noticeable difference (JND) for stereoscopic 3D content reflects the maximum tolerable distortion; it corresponds to the visibility threshold of the asymmetric distortions in the left and right contents. The 3D-JND models can be used to improve the efficiency of the 3D compression or the 3D qua...
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doaj-eb9242f0404b4d2b92a82e49199b7ce32021-03-29T22:55:33ZengIEEEIEEE Access2169-35362019-01-0178621864510.1109/ACCESS.2018.28872768601186A Survey of Stereoscopic 3D Just Noticeable Difference ModelsYu Fan0Mohamed-Chaker Larabi1https://orcid.org/0000-0003-4511-5381Faouzi Alaya Cheikh2Christine Fernandez-Maloigne3XLIM UMR CNRS 7252, University of Poitiers, Poitiers, FranceXLIM UMR CNRS 7252, University of Poitiers, Poitiers, FranceNorwegian Colour and Visual Computing Laboratory, Norwegian University of Science and Technology, Gjøvik, NorwayXLIM UMR CNRS 7252, University of Poitiers, Poitiers, FranceJust noticeable difference (JND) for stereoscopic 3D content reflects the maximum tolerable distortion; it corresponds to the visibility threshold of the asymmetric distortions in the left and right contents. The 3D-JND models can be used to improve the efficiency of the 3D compression or the 3D quality assessment. Compared to 2D-JND models, the 3D-JND models appeared recently and the related literature is rather limited. In this paper, we give a deep and comprehensive study of the pixel-based 3D-JND models. To our best knowledge, this is the first review on 3D-JND models. Each model is briefly described by giving its rationale and main components in addition to providing exhaustive information about the targeted application, the pros, and cons. Moreover, we present the characteristics of the human visual system presented in these models. In addition, we analyze and compare the 3D-JND models thoroughly using qualitative and quantitative performance evaluation based on Middlebury stereo datasets. Besides, we measure the JND thresholds of the asymmetric distortion based on psychophysical experiments and compare these experimental results to the estimates from the 3D-JND models in order to evaluate the accuracy of each model.https://ieeexplore.ieee.org/document/8601186/Human visual systemjust noticeable difference (JND)3D compression3D-JND models3D quality assessment |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yu Fan Mohamed-Chaker Larabi Faouzi Alaya Cheikh Christine Fernandez-Maloigne |
spellingShingle |
Yu Fan Mohamed-Chaker Larabi Faouzi Alaya Cheikh Christine Fernandez-Maloigne A Survey of Stereoscopic 3D Just Noticeable Difference Models IEEE Access Human visual system just noticeable difference (JND) 3D compression 3D-JND models 3D quality assessment |
author_facet |
Yu Fan Mohamed-Chaker Larabi Faouzi Alaya Cheikh Christine Fernandez-Maloigne |
author_sort |
Yu Fan |
title |
A Survey of Stereoscopic 3D Just Noticeable Difference Models |
title_short |
A Survey of Stereoscopic 3D Just Noticeable Difference Models |
title_full |
A Survey of Stereoscopic 3D Just Noticeable Difference Models |
title_fullStr |
A Survey of Stereoscopic 3D Just Noticeable Difference Models |
title_full_unstemmed |
A Survey of Stereoscopic 3D Just Noticeable Difference Models |
title_sort |
survey of stereoscopic 3d just noticeable difference models |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
Just noticeable difference (JND) for stereoscopic 3D content reflects the maximum tolerable distortion; it corresponds to the visibility threshold of the asymmetric distortions in the left and right contents. The 3D-JND models can be used to improve the efficiency of the 3D compression or the 3D quality assessment. Compared to 2D-JND models, the 3D-JND models appeared recently and the related literature is rather limited. In this paper, we give a deep and comprehensive study of the pixel-based 3D-JND models. To our best knowledge, this is the first review on 3D-JND models. Each model is briefly described by giving its rationale and main components in addition to providing exhaustive information about the targeted application, the pros, and cons. Moreover, we present the characteristics of the human visual system presented in these models. In addition, we analyze and compare the 3D-JND models thoroughly using qualitative and quantitative performance evaluation based on Middlebury stereo datasets. Besides, we measure the JND thresholds of the asymmetric distortion based on psychophysical experiments and compare these experimental results to the estimates from the 3D-JND models in order to evaluate the accuracy of each model. |
topic |
Human visual system just noticeable difference (JND) 3D compression 3D-JND models 3D quality assessment |
url |
https://ieeexplore.ieee.org/document/8601186/ |
work_keys_str_mv |
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