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Towards efficient blind quality evaluation of screen content images based on edge-preserving filter

机译:基于边缘保留滤波器的屏幕​​内容图像有效盲质量评估

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摘要

The problem of quality assessment of screen content images from two respects is addressed, the edge-preserving filter based free energy and structural degradation model. For screen content images which always contain texts, edge information plays an important role in the process of evaluating the screen images quality. Inspired by this, the edge-preserving filter based free energy entropy and structural degradation model were combined to extract the quality features and accordingly the statistical model of screen content images was established. Experimental results prove that the proposed method can produce highly consistent with human perception, particularly superior to state-of-the-art full- and no-reference quality metrics on the SIQAD database dedicated to the quality assessment of screen images.
机译:从两个方面解决了屏幕内容图像质量评估问题,即基于边缘保留滤波器的自由能和结构退化模型。对于始终包含文本的屏幕内容图像,边缘信息在评估屏幕图像质量的过程中起着重要作用。受此启发,结合了基于边缘保留滤波器的自由能熵和结构退化模型,提取了质量特征,从而建立了屏幕内容图像的统计模型。实验结果证明,所提出的方法可以产生与人类感知高度一致的结果,特别是优于专用于屏幕图像质量评估的SIQAD数据库上最新的全参考和无参考质量指标。

著录项

  • 来源
    《Electronics Letters》 |2017年第9期|592-594|共3页
  • 作者单位

    China University of Mining and Technology, People's Republic of China;

    China University of Mining and Technology, People's Republic of China;

    Hong Kong University of Science and Technology, Hong Kong;

    State Information Center of P.R.China, People's Republic of China;

    Nanyang Technological University, Singapore;

    Nanjing Institute of Technology, People's Republic of China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    image filtering; entropy; statistical analysis;

    机译:图像滤波;熵;统计分析;

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