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Image Compression based on Quadtree and Polynomial

by Ghadah Al-khafaji
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 76 - Number 3
Year of Publication: 2013
Authors: Ghadah Al-khafaji
10.5120/13229-0658

Ghadah Al-khafaji . Image Compression based on Quadtree and Polynomial. International Journal of Computer Applications. 76, 3 ( August 2013), 31-37. DOI=10.5120/13229-0658

@article{ 10.5120/13229-0658,
author = { Ghadah Al-khafaji },
title = { Image Compression based on Quadtree and Polynomial },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 76 },
number = { 3 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 31-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume76/number3/13229-0658/ },
doi = { 10.5120/13229-0658 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:44:57.471663+05:30
%A Ghadah Al-khafaji
%T Image Compression based on Quadtree and Polynomial
%J International Journal of Computer Applications
%@ 0975-8887
%V 76
%N 3
%P 31-37
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, an efficient image compression scheme is introduced, it is based on partitioning the image into blocks of variable sizes according to its locally changing image characteristics and then using the polynomial approximation to decompose image signal with less compressed information required compared to traditional predictive coding techniques, finally Huffman coding utilized to improve compression performance rate. The test results indicate that the suggested method can lead to promising performance due to simplicity and efficiency in terms of overcoming the limitations of predictive coding and fixed block size.

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Index Terms

Computer Science
Information Sciences

Keywords

Image compression compression techniques quadtree and polynomial representation

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