A Reduced Reference Image Quality Measure Using Bessel K Forms Model for Tetrolet Coefficients

Abstract : In this paper, we introduce a Reduced Reference Image Quality Assessment (RRIQA) measure based on the natural image statistic approach. A new adaptive transform called "Tetrolet" is applied to both reference and distorted images. To model the marginal distribution of tetrolet coefficients Bessel K Forms (BKF) density is proposed. Estimating the parameters of this distribution allows to summarize the reference image with a small amount of side information. Five distortion measures based on the BKF parameters of the original and processed image are used to predict quality scores. A comparison between these measures is presented showing a good consistency with human judgment.
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Journal of Convergence Information Technology, 2011, 6, pp.216, 224
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  • HAL Id : hal-00653086, version 1
  • ARXIV : 1112.4135

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Abdelkaher Ait Abdelouahad1,, Mohammed El Hassouni, Hocine Cherifi, Driss Aboutajdine. A Reduced Reference Image Quality Measure Using Bessel K Forms Model for Tetrolet Coefficients. Journal of Convergence Information Technology, 2011, 6, pp.216, 224. 〈hal-00653086〉

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