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Two-terminal Reliability Assessments of a Complex System Read chapter Read first chapter

2023 | OriginalPaper | Chapter

Fractal Image Coding-Based Image Compression Using Multithreaded Parallelization

Authors : Ranjita Asati, M. M. Raghuwanshi, Kavita R. Singh

Published in: Information and Communication Technology for Competitive Strategies (ICTCS 2021)

Publisher: Springer Nature Singapore

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Abstract

Fractal image coding-based image compression is characterized by its high compression ratio, high-resolution, and lower decompression time. In spite of these advantages, it is not being widely adopted because of its high computation time. Attempts made to reduce the computation duration in fractal image compression (FIC) fall into two categories like heuristics-based search time reduction and parallelism-based reduction. In this work, we have proposed a multithreading-based parallelism technique on the multi-core processors to minimize the compression duration. The compression duration of the suggested multithreading process is tested upon the images having different resolutions. It is observed that the proposed solution has reduced the compression time by almost 2.51 times as compared to sequential method.

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Metadata
Title
Fractal Image Coding-Based Image Compression Using Multithreaded Parallelization
Authors
Ranjita Asati
M. M. Raghuwanshi
Kavita R. Singh
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Information and Communication Technology for Competitive Strategies (ICTCS 2021)

Print ISBN: 978-981-19-0094-5

Electronic ISBN: 978-981-19-0095-2

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-19-0095-2_53