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Image quality assessment based on S-CIELAB model

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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.

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Authors and Affiliations

  1. School of Electronic Engineering, Xidian University, 710071, Xi’an, People’s Republic of China

    Lihuo He, Xinbo Gao & Wen Lu

  2. Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, 71011, Xi’an, People’s Republic of China

    Xuelong Li

  3. School of Computer Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N4, Singapore, 639798, Singapore

    Dacheng Tao

Authors
  1. Lihuo He
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  2. Xinbo Gao
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  3. Wen Lu
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  4. Xuelong Li
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  5. Dacheng Tao
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Correspondence to Xinbo Gao.

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He, L., Gao, X., Lu, W. et al. Image quality assessment based on S-CIELAB model. SIViP 5, 283–290 (2011). https://doi.org/10.1007/s11760-010-0200-x

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  • DOI: https://doi.org/10.1007/s11760-010-0200-x

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