We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
The week's pick
Responsive image
An Efficient Restoration Method for the Faint Dot Matrix Images

Ao Zhu Peng Cao
Random Articles
Reseach Article

SAR Image Compression using SPIHT Algorithm

by Mohammed Hamza Abed, C. Namrata Mahender
journal cover thumbnail

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
  1. William A. Pearlman ,The Set Partitioning in Hierarchical Trees (SPIHT) Algorithm , Rensselaer Polytechnic Institute,1997.
  2. ARUN KUMAR P S , Implementation of Image Compression Algorithm using Verilog with Area, Power and Timing Constraints, Department of Electronics and Communication Engineering National Institute Of Technology Rourkela ,2009.
  3. Guy E. Blelloch, Introduction to Data Compression, Computer Science Department Carnegie Mellon University ,2010
  4. Dr. (Mrs.) R.Sukanesh, R.Harikumarm, Analysis of Image Compression by Minimum Relative Entropy (MRE) and Restoration through Weighted Region Growing Techniques for Medical Images, 12 February 2007.
  5. Ganesh M.Magar , Synthetic Aperture Radar (SAR) Image Compression : A Multiwavelet Approach ,Dr.Babasaheb Ambedkar Marathwada University ,2010.
  6. Kishore Mosaliganti, Arnaud Gelas and Sean Megason , An Adaptive Thresholding Image Filter , Department of Systems Biology, Harvard Medical School, Boston, MA-02139, USA , 2009.
  7. A. German, M. R. Jenkin, Y. Lesp´erance , Entropy-based image merging, Department of Computer Science and Engineering and Centre for Vision Research York University, Toronto, Ontario, Canada.
  8. Rajaram Nityananda and Ramesh Narayan, Maximum Entropy Image Reconstruction–A Practical Non- Information-Theoretic Approach , Raman Research Institute, Bangalore 560080
  9. Linfeng Guo ,Yan Meng , , New York, New York 10016, USA Hoboken, New Jersey 07030, USA , PSNR-BASED OPTIMIZATION OF JPEG BASELINE COMPRESSION ON COLOR IMAGES.
  10. Mahmoud Fawaz Khalil Al-Gherify , Image Compression Using BinDCT For Dynamic Hardware FPGA’s, General Engineering Research Institute (GERI), Liverpool John Moores University. 2007
  11. Alvaro Pardo , Tools for image analysis, representation, and Compression, Faculty of Engineering Universidad de la Rep´ublica Uruguay ,August 14, 2003
  12. Refael C.Gonzalez , Richared E.woods ,Steven L.Eddins ,Digital image processing using Matlab , Pearson Education , Inc 2004.
Index Terms

Computer Science
Information Sciences

Keywords

SPIHT lossless lossy compression SAR image Adaptive thresholding

Powered by PhDFocusTM