立体图像质量感知特征提取的研究与展望

Research and Prospect of Stereoscopic Image Quality-aware Feature Extraction

图像质量感知特征提取和图像质量值映射是立体图像质量评价(SIQA)算法的核心组成模块。相对于2D图像质量评价算法,SIQA算法所提取的图像质量感知特征中需要引入视差、立体观察舒适度和立体显著度等影响立体质量感觉的各种因素,而在图像质量值映射方面则区别不大。为此,以考虑视差信息为主要划分标准,分类综述SIQA算法提取立体图像质量感知特征的各种方法,并相应评析它们的特点,对提取立体图像质量感知特征当前存在的问题和未来的研究方向进行分析和展望。

The image quality-aware perception feature extraction and image quality value mapping are the core components of the Stereoscopic Image Quality Assessment（SIQA） algorithm.Related to 2D Image Quality Assessment（2D-IQA） algorithm,various factors affecting stereoscopic quality perception such as parallax,stereoscopic viewing comfort and stereo saliency need to be introduced in the image quality-aware feature extracted by SIQA algorithm,but there is little difference in image quality value mapping.Therefore,considering the parallax information as the main classification standard,the SIQA algorithm is used to extract various methods which the quality-aware features of stereoscopic images are introduced,and their characteristics are reviewed.The current problems and future research directions for extracting stereoscopic image quality-aware features are analyzed and forecasted.