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Probabilistic Modeling of Lossless Compression using Improved RLC Algorithm

by Aisha Sattar Phulpoto, Sania Bhatti, Salahuddin Saddar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 43
Year of Publication: 2021
Authors: Aisha Sattar Phulpoto, Sania Bhatti, Salahuddin Saddar
10.5120/ijca2021921838

Aisha Sattar Phulpoto, Sania Bhatti, Salahuddin Saddar . Probabilistic Modeling of Lossless Compression using Improved RLC Algorithm. International Journal of Computer Applications. 183, 43 ( Dec 2021), 33-39. DOI=10.5120/ijca2021921838

@article{ 10.5120/ijca2021921838,
author = { Aisha Sattar Phulpoto, Sania Bhatti, Salahuddin Saddar },
title = { Probabilistic Modeling of Lossless Compression using Improved RLC Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2021 },
volume = { 183 },
number = { 43 },
month = { Dec },
year = { 2021 },
issn = { 0975-8887 },
pages = { 33-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number43/32222-2021921838/ },
doi = { 10.5120/ijca2021921838 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:19:35.441351+05:30
%A Aisha Sattar Phulpoto
%A Sania Bhatti
%A Salahuddin Saddar
%T Probabilistic Modeling of Lossless Compression using Improved RLC Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 43
%P 33-39
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Probabilistic model checking is a very famous formal verification technique to calculate accuracy evaluation while it is very complex and time-consuming to achieve via simulations these days. Probabilistic analysis has been applied successfully for a diverse range of application domains to examine the real-time attribute likewise, Performance and reliability, power management, biological process modeling, Communication, network, and multimedia protocols, security protocols, game theory, and many others but not applied in the domain of image compression techniques. The outstanding applicability of PRISM in a wider range of application domains motivated us to the analysis of compression algorithms using probabilistic techniques which are challenging and are still an open issue. For this, this paperhas selected improved run-length coding IRLC.which is a lossless algorithm. This paper presents a label transition diagram for IRL-C to understand the working of IRL-C in terms of states and transitions and then developed the probabilistic discrete-time Markov chains (DTMC) of IRLC to perform its analysis by applying properties.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Improved run length coding IRLC discrete-time Markov chains (DTMC) Markov decision processes (MDP) continuous-time Markov chains (CTMC) PRISM probabilistic modeling

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