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首页> 外文期刊>Journal of visual communication & image representation >Blind tone mapped image quality assessment with image segmentation and visual perception
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Blind tone mapped image quality assessment with image segmentation and visual perception

机译：盲目映射图像质量评估与图像分割和视觉感知

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With tone mapping, high dynamic range (HDR) image contents can be displayed on low dynamic range (LDR) display devices, in which some important visual information may be distorted. Thus, the tone mapped image (TMI) quality assessment is one of important issues in HDR image/video processing fields. Considering the difference of visual distortion degrees between the flat and complex regions in TMI, and considering that high-quality TMI should preserve as much information as possible of its original HDR image especially in the high/low luminance regions, this paper proposes a new blind TMI quality assessment method with image segmentation and visual perception. First, we design different features to describe the distortion of TMI's different regions with two kinds of TMI segmentation. Then, considering that there lacks an efficient algorithm to quantify the importance of features, a feature clustering scheme is designed to eliminate the poor effect feature components in the extracted features to improve the effectiveness of the selected features. Finally, considering the diversity of tone mapping operator (TMO), which may cause global and local distortion of TMI, some other global features are also combined. At last, a final feature vector is formed to synthetically describe the distortion in TMI and used to blindly predict the TMI's quality. Experimental results in the public ESPL-LIVE HDR database show that the Pearson linear correlation coefficient and Spearman rank order correlation coefficient of the proposed method reach 0.8302 and 0.7887, respectively, which is superior to the state-of-the-art blind TMI quality assessment methods, and it means that the proposed method is highly consistent with human visual perception. (C) 2020 Elsevier Inc. All rights reserved.
机译：通过色调映射，可以在低动态范围（LDR）显示设备上显示高动态范围（HDR）图像内容，其中一些重要的视觉信息可能会失真。因此，色调映射图像（TMI）质量评估是HDR图像/视频处理字段中的重要问题之一。考虑到TMI中的平坦和复杂区域之间的视觉失真程度的差异，并且考虑到高质量的TMI应尽可能地保留其原始HDR图像，特别是在高/低亮度区域中，这篇论文提出了一种新的盲人具有图像分割和视觉感知的TMI质量评估方法。首先，我们设计不同的功能来描述TMI的不同区域的失真，两种TMI分段。然后，考虑到缺少有效的算法来量化特征的重要性，旨在消除提取的功能中的差的效果特征组件，以提高所选功能的有效性。最后，考虑到音调映射运算符（TMO）的多样性，可能导致TMI的全局和局部失真，还组合了其他一些全局特征。最后，形成最终特征向量以合成综合描述TMI中的失真，并用于盲目预测TMI的质量。公共ESPL-Live HDR数据库的实验结果表明，Pearson线性相关系数和Spearman等级顺序相关系数分别达到0.8302和0.7887，其优于最先进的盲人TMI质量评估方法，这意味着所提出的方法与人类视觉感知高度一致。 （c）2020 Elsevier Inc.保留所有权利。

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