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SAR Image Compression using SPIHT Algorithm

by Mohammed Hamza Abed, C. Namrata Mahender
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 22 - Number 8
Year of Publication: 2011
Authors: Mohammed Hamza Abed, C. Namrata Mahender
10.5120/2605-3634

Mohammed Hamza Abed, C. Namrata Mahender . SAR Image Compression using SPIHT Algorithm. International Journal of Computer Applications. 22, 8 ( May 2011), 14-18. DOI=10.5120/2605-3634

@article{ 10.5120/2605-3634,
author = { Mohammed Hamza Abed, C. Namrata Mahender },
title = { SAR Image Compression using SPIHT Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { May 2011 },
volume = { 22 },
number = { 8 },
month = { May },
year = { 2011 },
issn = { 0975-8887 },
pages = { 14-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume22/number8/2605-3634/ },
doi = { 10.5120/2605-3634 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:08:50.834984+05:30
%A Mohammed Hamza Abed
%A C. Namrata Mahender
%T SAR Image Compression using SPIHT Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 22
%N 8
%P 14-18
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper discusses the design and implementation of SAR image compression based on the set partitioning using hierarchical trees (SPIHT) coding algorithm. SAR images are considered in our work due to large scope in its application area which requires reduction i.e. is compression. As per the survey SPIHT algorithm has achieved prominent success in image compression. Here we use a modified version of SPIHT for two dimensional signals which is lossless. Set partition coding is a procedure that recursively splits groups of integer data or transform elements guided by a sequence of adaptive threshold, and presented in octree form.

References
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Index Terms

Computer Science
Information Sciences

Keywords

SPIHT lossless lossy compression SAR image Adaptive thresholding

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