Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: 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.

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The categories of this paper are: astro-ph
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The categories of this paper are: hep-ph
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The categories of this paper are: stat
28
The categories of this paper are: alg-geom
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The categories of this paper are: quant-ph
33
The categories of this paper are: plasm-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: chem-ph
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The categories of this paper are: econ
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The categories of this paper are: nucl-ex
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The categories of this paper are: nlin
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The categories of this paper are: math
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The categories of this paper are: supr-con
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The categories of this paper are: atom-ph
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The categories of this paper are: math-ph
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The categories of this paper are: hep-ex