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An improved model of binocular energy calculation for full-reference stereoscopic image quality assessment

机译：用于全参考立体图像质量评估的双目能量计算的改进模型

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With the exponential growth of stereoscopic imaging in various applications, it has become very demanding to have a reliable quality assessment technique to measure the human perception of stereoscopic images. Quality assessment of stereoscopic visual content in the presence of artefacts caused by compression and transmission is a key component of end-to-end 3D media delivery systems. Despite a few recent attempts to develop stereoscopic image/video quality metrics, there is still a lack of a robust stereoscopic image quality metric. Towards addressing this issue, this paper proposes a full reference stereoscopic image quality metric, which mimics the human perception while viewing stereoscopic images. A signal processing model that is consistent with physiological literature is developed in the paper to simulate the behaviour of simple and complex cells of the primary visual cortex in the Human Visual System (HVS). The model is trained with two publicly available stereoscopic image databases to match the perceptual judgement of impaired stereoscopic images. The experimental results demonstrate a significant improvement in prediction performance as compared with several state-of-the-art stereoscopic image quality metrics.
机译：随着立体成像在各种应用中的指数增长，已经非常需要具有可靠的质量评估技术来测量人类对立体图像的感知。在存在由压缩和传输引起的伪影的情况下，对立体视觉内容的质量评估是端到端3D媒体传输系统的关键组成部分。尽管最近进行了一些尝试来开发立体图像/视频质量度量，但是仍然缺少鲁棒的立体图像质量度量。为了解决这个问题，本文提出了一种完全参考的立体图像质量度量，该度量模仿了观看立体图像时的人类感知。本文开发了与生理学文献一致的信号处理模型，以模拟人类视觉系统（HVS）中主要视觉皮层的简单和复杂细胞的行为。该模型使用两个可公开获得的立体图像数据库进行训练，以匹配对受损立体图像的感知判断。实验结果表明，与几种最新的立体图像质量指标相比，预测性能有了显着提高。

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