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Efficient Scalable Image Compression Algorithms with Low Memory and Complexity

by Ali Kadhim Jaber Al-Janabi, Abdulkareem Abdulrahman Kadhim
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 136 - Number 9
Year of Publication: 2016
Authors: Ali Kadhim Jaber Al-Janabi, Abdulkareem Abdulrahman Kadhim
10.5120/ijca2016908564

Ali Kadhim Jaber Al-Janabi, Abdulkareem Abdulrahman Kadhim . Efficient Scalable Image Compression Algorithms with Low Memory and Complexity. International Journal of Computer Applications. 136, 9 ( February 2016), 12-19. DOI=10.5120/ijca2016908564

@article{ 10.5120/ijca2016908564,
author = { Ali Kadhim Jaber Al-Janabi, Abdulkareem Abdulrahman Kadhim },
title = { Efficient Scalable Image Compression Algorithms with Low Memory and Complexity },
journal = { International Journal of Computer Applications },
issue_date = { February 2016 },
volume = { 136 },
number = { 9 },
month = { February },
year = { 2016 },
issn = { 0975-8887 },
pages = { 12-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume136/number9/24181-2016908564/ },
doi = { 10.5120/ijca2016908564 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:36:38.172491+05:30
%A Ali Kadhim Jaber Al-Janabi
%A Abdulkareem Abdulrahman Kadhim
%T Efficient Scalable Image Compression Algorithms with Low Memory and Complexity
%J International Journal of Computer Applications
%@ 0975-8887
%V 136
%N 9
%P 12-19
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The set partitioning embedded block (SPECK) image compression algorithm has excellent performance, low computational complexity, and produces a rate scalable compressed bitstream that can be decoded efficiently at multiple bit-rates. Unfortunately, it consumes a huge amount of computer memory due to employing lists that store the coordinates of the image pixels and the coordinates of the sets that are generated during the coding process. In addition, it has complex memory management due to using an array of random access linked lists to store these sets according to their sizes. In this paper, we propose two algorithms that are based on SPECK. The main contribution of the first algorithm is that, as compared to SPECK, the amount of the algorithm’s usable memory is reduced to about 75% and at the same time its processing speed is increased and its rate distortion efficiency is preserved as will be demonstrated. The second algorithm has higher processing speed but has slightly lower rate distortion performance than the first algorithm.

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Index Terms

Computer Science
Information Sciences

Keywords

DWT Embedded Coding Low Memory Scalable Image Compression Set Partitioning algorithms SPECK SPIHT Wavelet-based Image Compression.

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