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

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

2011-12-18

arxiv.org/abs/1112.4135v1

Journal of Convergence Information Technology 6 (2011) 216, 224

Computer Science

Computer Vision and Pattern Recognition

Scientific paper

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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