Completely blind image quality assessment based on gray-scale fluctuations

Xichen Yang; Quansen Sun; Tianshu Wang

doi:10.1117/12.2064357

16 April 2014 Completely blind image quality assessment based on gray-scale fluctuations

Xichen Yang, Quansen Sun, Tianshu Wang

Proceedings Volume 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014); 915916 (2014) https://doi.org/10.1117/12.2064357
Event: Sixth International Conference on Digital Image Processing, 2014, Athens, Greece

Abstract

Completely blind image quality assessment is the further development of no reference image quality assessment. And this kind quality assessment method is highly unsupervised, training free, and don’t rely on natural scene statistic model. This paper proposes a completely blind quality assessment method based on gray-scale fluctuations (GFQA). The new method uses a specific image primitive to analyze the image gray fluctuations. And the analysis result is used to assess the image quality and give the image quality assessment result directly. The experimental results show that the new method accords closely with human subjective judgments of diverse distorted images when tested on the large publicly available ‘LIVE’ Image Quality database.

Citation Download Citation

Xichen Yang, Quansen Sun, and Tianshu Wang "Completely blind image quality assessment based on gray-scale fluctuations", Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 915916 (16 April 2014); https://doi.org/10.1117/12.2064357

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