Screen image quality assessment incorporating structural degradation measurement
Screen image quality assessment incorporating structural degradation measurement
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DOI：
10.1109/iscas.2015.7168586
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发表时间：
2015-05
期刊：
影响因子：
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通讯作者：
Ke Gu;Shiqi Wang;Guangtao Zhai;Siwei Ma;Weisi Lin
中科院分区：
文献类型：
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作者：
Ke Gu;Shiqi Wang;Guangtao Zhai;Siwei Ma;Weisi Lin
屏幕内容通常由计算机生成的文本和图形组成。屏幕上显示的内容呈现出各种不自然的特性，例如尖锐的边缘和细线，几乎没有颜色变化。本文设计了一种新的结构诱导质量度量（SIQM）来评估屏幕图像质量。所提出的SIQM通过将基准结构相似指数（SSIM）与使用SSIM计算的结构退化度量加权来工作。在最新发布的屏幕图像主观质量数据库上进行的实验结果表明，所提出的技术一方面优于现有的质量度量，另一方面，我们的模型能够优化屏幕视频编码，从而显著提高视觉质量。
Screen content is typically composed of computer generated text and graphics. The contents shown on the screen exhibit various unnatural properties, such as sharp edges and thin lines with few color variations. In this paper we design a novel structure-induced quality metric (SIQM) for assessing the screen image quality. The proposed SIQM works by weighting the benchmark structural similarity index (SSIM) with the structural degradation measurement that is computed using SSIM as well. Experimental results conducted on the newly released subjective quality database concerning screen images show that on one hand the proposed technique is superior to existing quality measures, and on the other hand our model is able to optimize screen video coding and thus introduce remarkable visual quality improvement.