Perceived depth quality - preserving visual comfort improvement method for stereoscopic 3D images
Perceived depth quality - preserving visual comfort improvement method for stereoscopic 3D images
复制标题
感知深度质量-保持立体3D图像视觉舒适度的改进方法
DOI：
10.1016/j.sigpro.2019.107374
复制
发表时间：
2020-04-01
影响因子：
4.4
通讯作者：
Chen，Fen
中科院分区：
文献类型：
--
作者：
Ying，Hongwei;Yu，Mei;Chen，Fen
立体三维（S3D）图像的视觉舒适度（VC）的提高通常伴随着感知深度（PD）质量的下降，这涉及三种感觉：存在感、力量感和真实感。为了解决这个问题，本文提出了一种新的局部放电质量保持的三维图像的VC改进方法。首先，一个整体的视觉体验指数，称为三维视觉满意度，占VC和PD质量的定义。然后，提出了一种新的视距非线性偏移（VDNS）方法来提高三维图像的视觉效果，并提出了基于VDNS的三维图像绘制方法来生成新的三维图像。在S3D图像数据库上进行主观评估实验，该数据库由不适S3D图像及其基于VDNS的渲染图像组成，以获得相应的地面真实3D视觉满意度分数。基于标记数据集，提出了一种综合VC和PD质量的客观三维视觉满意度评价模型VCPD。使用VCPD模型作为指导，VDNS是用来提高VC和三维视觉满意度的S3D图像在逐步的方式，而不引入几何比例失真。因此，调整后的S3D图像可以为观众提供更好的3D视觉满意度，即，在保持PD质量的同时提高VC。实验结果表明，该方法在提高VC和PD质量方面的综合性能优于其他相关方法，可以提供最佳的3D视觉满意度。
The improvement of visual comfort (VC) of stereoscopic three-dimensional (S3D) images is often accompanied with a decline in the perceived depth (PD) quality which involves three senses: presence, power, and realism. To address this problem, this paper proposes a novel PD quality - preserving VC improvement method for S3D images. First, an overall visual experience index termed 3D visual satisfaction which accounts for both VC and PD quality is defined. Then, a new viewing distance nonlinear shifting (VDNS) scheme is developed to improve the VC of S3D images and VDNS-based rendering method is proposed to generate new S3D images. A subjective assessment experiment is conducted on S3D image database, consisting of discomfort S3D images and their VDNS-based rendering images to obtain the corresponding ground truth 3D visual satisfaction scores. Based on the labeled dataset, an objective 3D visual satisfaction assessment model is presented, which integrates VC and PD quality and denotes as VCPD model. Using the VCPD model as guidance, VDNS is used to improve the VC and 3D visual satisfaction of S3D images in a stepwise manner without introducing geometric proportional distortion. As a result, the adjusted S3D image can provide better 3D visual satisfaction to viewers, i.e., improving the VC while preserving the PD quality. Experimental results show that the proposed method can achieve better comprehensive performance in improving both of VC and PD quality than other relevant methods as it can provide the optimal 3D visual satisfaction.