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    Image quality assessment based on S-CIELAB model

    He, L. and Gao, X. and Lu, W. and Li, Xuelong and Tao, D. (2011) Image quality assessment based on S-CIELAB model. Signal, Image and Video Processing 5 (3), pp. 283-290. ISSN 1863-1703.

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    Abstract

    This paper proposes a new image quality assessment framework which is based on color perceptual model. By analyzing the shortages of the existing image quality assessment methods and combining the color perceptual model, the general framework of color image quality assessment based on the S-CIELAB color space is presented. The S-CIELAB color model, a spatial extension of CIELAB, has an excellent performance for mimicking the perceptual processing of human color vision. This paper incorporates excellent color perceptual characteristics model with the geometrical distortion measurement to assess the image quality. First, the reference and distorted images are transformed into S-CIELAB color perceptual space, and the transformed images are evaluated by existing metric in three color perceptual channels. The fidelity factors of three channels are weighted to obtain the image quality. Experimental results achieved on LIVE database II shows that the proposed methods are in good consistency with human subjective assessment results.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): image quality assessment, color vision, S-CIELAB, perceptual characteristics
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 20 Jun 2013 09:52
    Last Modified: 11 Oct 2016 15:27
    URI: https://eprints.bbk.ac.uk/id/eprint/7515

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