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A perceptual stereoscopic image quality assessment model accounting for binocular combination behavior

机译：解释双眼组合行为的感知立体图像质量评估模型

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摘要

Stereoscopic image quality assessment (SIQA) plays an important role in the development of 3D image processing. In this paper, a full-reference object SIQA model is built based on binocular summation channel and binocular difference channel. In our frame work, binocular combination behavior and how to experience the depth perception are thought to be the key factors to evaluate the quality of stereoscopic images. Differing from the current depth map methods, this method focuses on a new aspect, and an effective combination model is proposed based on the physiological findings in the Human Visual System (HVS). Experimental results demonstrate that the proposed quality assessment metric significantly outperforms the existing metrics and can achieve higher consistency with subject quality assessment when predicting the quality of stereoscopic images that have been symmetrically distorted. (C) 2015 Elsevier Inc. All rights reserved.
机译：立体图像质量评估（SIQA）在3D图像处理的发展中起着重要作用。本文基于双目求和通道和双目差通道建立了全参考对象SIQA模型。在我们的框架工作中，双目组合行为以及如何体验深度感知被认为是评估立体图像质量的关键因素。与当前的深度图方法不同，该方法着眼于一个新的方面，并基于人类视觉系统（HVS）的生理发现，提出了一种有效的组合模型。实验结果表明，提出的质量评估指标明显优于现有的指标，并且在预测对称失真的立体图像的质量时，可以与主题质量评估达到更高的一致性。 （C）2015 Elsevier Inc.保留所有权利。

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