Client-Oriented Blind Quality Metric for High Dynamic Range Stereoscopic Omnidirectional Vision Systems.

Client-Oriented Blind Quality Metric for High Dynamic Range Stereoscopic Omnidirectional Vision Systems.
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高动态范围立体全向视觉系统的面向客户的盲质量度量

DOI:
10.3390/s22218513
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发表时间:
2022-11-04
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
通讯作者:
Jiang G
Jiang G
中科院分区:
其他
文献类型:
--
作者:
Cao L;You J;Song Y;Xu H;Jiang Z;Jiang G

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高动态范围(HDR)立体全向视觉系统可以为用户提供更逼真的双目和沉浸式感知,但HDR立体全向图像(HSOI)在编码和可视化过程中会发生失真,使其质量评估更具挑战性。针对这一问题,提出了一种基于视觉感知的面向客户端的盲HSOI质量度量方法。提出的度量主要由单目感知模块(MPM)和双目感知模块(BPM)组成,其结合了联合收割机单目/双目、全向和HDR/色调映射感知。MPM从三个方面提取特征:全局颜色失真,对称/非对称失真和场景失真。在BPM中,通过联合图像滤波生成双目融合图和双目差异图。然后,对双目融合图像进行亮度分割,并对分割后的高、低、中亮度区域进行特征提取。对于双目差异图,采用多系数导数图提取自然场景的统计特征。最后,特征筛选用于去除提取的特征之间的冗余。在HSOID数据库上的实验结果表明,该度量方法总体上优于代表性质量度量,且更符合主观感知。
A high dynamic range (HDR) stereoscopic omnidirectional vision system can provide users with more realistic binocular and immersive perception, where the HDR stereoscopic omnidirectional image (HSOI) suffers distortions during its encoding and visualization, making its quality evaluation more challenging. To solve the problem, this paper proposes a client-oriented blind HSOI quality metric based on visual perception. The proposed metric mainly consists of a monocular perception module (MPM) and binocular perception module (BPM), which combine monocular/binocular, omnidirectional and HDR/tone-mapping perception. The MPM extracts features from three aspects: global color distortion, symmetric/asymmetric distortion and scene distortion. In the BPM, the binocular fusion map and binocular difference map are generated by joint image filtering. Then, brightness segmentation is performed on the binocular fusion image, and distinctive features are extracted on the segmented high/low/middle brightness regions. For the binocular difference map, natural scene statistical features are extracted by multi-coefficient derivative maps. Finally, feature screening is used to remove the redundancy between the extracted features. Experimental results on the HSOID database show that the proposed metric is generally better than the representative quality metric, and is more consistent with the subjective perception.
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