A Reduced Reference Image Quality Measure Using Bessel K Forms Model for   Tetrolet Coefficients
  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. 
Abdelkaher Ait Abdelouahad (GSCM-LRIT), Mohammed El Hassouni (DESTEC),   Hocine Cherifi (Le2i), Driss Aboutajdine (GSCM-LRIT)
cs.CV