Robust Stereoscopic Crosstalk Prediction

Shen, Jianbing, Zhang, Yan, Liang, Zhiyuan, Liu, Chang, Sun, Hanqiu, Hao, Xiaopeng, Liu, Jianhong, Yang, Jian and Shao, Ling (2018) Robust Stereoscopic Crosstalk Prediction. IEEE Transactions on Circuits and Systems for Video Technology, 28 (5). pp. 1158-1168. ISSN 1051-8215

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Abstract

We propose a new metric to predict perceived crosstalk using the original images rather than both the original and ghosted images. The proposed metrics are based on color information. First, we extract a disparity map, a color difference map, and a color contrast map from original image pairs. Then, we use those maps to construct two new metrics (Vdispc and Vdlogc). Metric Vdispc considers the effect of the disparity map and the color difference map, while Vdlogc addresses the influence of the color contrast map. The prediction performance is evaluated using various types of stereoscopic crosstalk images. By incorporating Vdispc and Vdlogc, the new metric Vpdlc is proposed to achieve a higher correlation with the perceived subject crosstalk scores. Experimental results show that the new metrics achieve better performance than previous methods, which indicate that color information is one key factor for crosstalk visible prediction. Furthermore, we construct a new data set to evaluate our new metrics.

Item Type: Article
Faculty \ School: Faculty of Science > School of Computing Sciences
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 12 Jun 2018 15:30
Last Modified: 22 Jul 2020 02:20
URI: https://ueaeprints.uea.ac.uk/id/eprint/67348
DOI: 10.1109/TCSVT.2016.2645661

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