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  • 标题:A Blind Image Quality Assessment for Visual Quality Perception to Estimate the Quality of the Images
  • 本地全文:下载
  • 作者:K. Girish Chandra ; Dr. B. Prabhakara Rao
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2017
  • 卷号:5
  • 期号:7
  • 页码:13773
  • DOI:10.15680/IJIRCCE.2017.0507072
  • 出版社:S&S Publications
  • 摘要:Most of the existing Blind image quality assessment techniques can hardly characterize visual qualityperception for various distortion types. The different blind image quality assessment algorithms cannot correlate withfull-reference image quality assessment techniques. So, in this paper we first perform image quality assessment for thefull-reference images on different distortion types and then the quality of the distorted image is found by using theBlind image quality assessment technique. The performance of the blind image quality assessment is compared withthe performance of the full-reference image quality assessment techniques. This paper focuses on the measurement ofquality for the distorted images which are used in the measurement of performance of the full-reference images. Theexperimental results show that algorithm exhibits high correlation with the novel full-reference image quality metricswhen compared with the other Blind image quality metrics.
  • 关键词:Quality assessment; Depth image quality metric; Distortion types; Full-reference image quality;assessment.
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