Employing Quantile and Probability Plots for Comparing and Assessing Goodness of Fit for Stochastic Models of the DCT Coefficients of Lossy Compressed Images

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F23%3A39920964" target="_blank" >RIV/00216275:25530/23:39920964 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/RADIOELEKTRONIKA57919.2023.10109081" target="_blank" >http://dx.doi.org/10.1109/RADIOELEKTRONIKA57919.2023.10109081</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/RADIOELEKTRONIKA57919.2023.10109081" target="_blank" >10.1109/RADIOELEKTRONIKA57919.2023.10109081</a>

Result language
angličtina
Original language name
Employing Quantile and Probability Plots for Comparing and Assessing Goodness of Fit for Stochastic Models of the DCT Coefficients of Lossy Compressed Images
Original language description
The paper employs probability plots to performgoodness of fit tests for AC DCT coefficients of compressed images. Attention is paid to various probabilistic models of the DCT coefficients, conventional and rarely used. The Laplacian, generalized Gaussian and doubly Gamma distributions comprise the list. A variation of the method of moments, which involves the 2nd and 4th sample moments as well as Sheppard’s corrections to estimate the shape and scale parameters of the distributions is used. Two types of images are considered, namely, texturelike images and those possessing vast regions of monotonicity. Special effort has been put into adjusting the apparatus of the probability plots to make them suitable for dealing with discrete data, in our case with the quantized DCT coefficients of lossy compressed images. As the source of the DCT coefficients, JPEG images are used. This does not lead us to a significant loss of generality: conclusions drawn in this paper remain applicable to a broad variety of formats of lossy compressed images.
Czech name
—
Czech description
—

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
33rd International Conference Radioelektronika, Radioelektronika 2023
ISBN
979-8-3503-9834-2
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
1-4
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Pardubice
Event date
May 19, 2023
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000990505700054

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