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QoE-Guided Warping for Stereoscopic Image Retargeting

机译:立体图像重定向的QoE引导变形

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摘要

In the field of stereoscopic 3D (S3D) display, it is an interesting as well as meaningful issue to retarget the stereoscopic images to the target resolution, while the existing stereoscopic image retargeting methods do not fully take user’s Quality of Experience (QoE) into account. In this paper, we have presented a QoE-guided warping method for stereoscopic image retargeting, which retarget the stereoscopic image and adapt its depth range to the target display while promoting user’s QoE. Our method takes shape preservation, visual comfort preservation, and depth perception preservation energies into account, and simultaneously optimizes the 2D coordinates and depth information in 3D space. It also considers the specific viewing configuration in the visual comfort and depth perception preservation energy constraints. Experimental results on visually uncomfortable and comfortable stereoscopic images demonstrate that in comparison with the existing stereoscopic image retargeting methods, the proposed method can achieve a reasonable performance optimization among the QoE’s factors of image quality, visual comfort, and depth perception, leading to promising overall S3D experience.
机译:在立体3D(S3D)显示领域,将立体图像重新定向到目标分辨率是一个既有趣又有意义的问题,而现有的立体图像重新定向方法并未完全考虑用户的体验质量(QoE) 。在本文中,我们提出了一种用于立体图像重定向的QoE引导变形方法,该方法可重新定向立体图像并使其深度范围适应目标显示,同时提升用户的QoE。我们的方法考虑了形状保持,视觉舒适度保持和深度感知保持的能量,并同时优化了3D空间中的2D坐标和深度信息。它还考虑了视觉舒适度和深度感知保留能量约束中的特定查看配置。对视觉上不舒服和舒适的立体图像的实验结果表明,与现有的立体图像重定向方法相比,该方法可以在图像质量,视觉舒适度和深度感知的QoE因素之间实现合理的性能优化,从而为整体S3D带来希望经验。

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