基于自顶向下视觉机制的立体图像质量评价  

Stereo Image Quality Assessment Based on Top-Down Visual Mechanism

作　　者：李素梅 张慧林 Li Sumei;Zhang Huilin(School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China)

机构地区：[1]天津大学电气自动化与信息工程学院,天津300072

出　　处：《激光与光电子学进展》2025年第2期350-358,共9页Laser & Optoelectronics Progress

基　　金：国家自然科学基金面上项目(61971306)。

摘　　要：为了提高立体图像质量客观评价指标与人类主观评价指标的一致性,受人类视觉自顶向下机制的启发,提出一种基于立体注意力的无参考立体图像质量评价方法。在所提立体注意力模块中:首先,通过所提双目融合模块中的能量系数自适应调整双目响应的幅度,并在空间和通道维度对双目特征进行并行处理;其次,所提双目调制模块能够同时实现高层级双目信息对低层级双目信息和低层级单目信息的自顶向下调制。此外,双池化策略分别对双目融合图和双目差异图进行处理,可获取更有利于质量分数回归的关键信息。基于公开的LIVE 3D和WIVC 3D数据库对所提方法进行了性能验证。实验结果表明,所提方法实现了客观评价指标与标签的较高一致性。In order to improve the consistency of metrics between the objective assessment and the human subjective evaluation of stereo image quality,inspired by the top-down mechanism of human vision,this paper proposes a stereo attention-based no-reference stereo image quality assessment method.In the proposed stereo attention module.First,the amplitude of binocular response is adaptively adjusted by the energy coefficient in the proposed binocular fusion module,and the binocular features are processed simultaneously in the spatial and channel dimensions.Second,the proposed binocular modulation module realizes the top-down modulation of the high-level binocular information to the low-level bino-and monocular information simultaneously.In addition,the dual-pooling strategy proposed in this paper processes the binocular fusion map and binocular difference map to obtain the critical information that is more conducive to quality score regression.The performance of the proposed method is validated based on the publicly available LIVE 3D and WIVC 3D databases.The experimental results show that the proposed method achieves high consistency between objective assessment indices and labels.

关 键 词：图像处理 立体图像质量评价 人类视觉系统 自顶向下 卷积神经网络 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]