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Image Compression using FFN for ROI and SPIHT for background

by Vikash Kumar, Jitu Sharma, Shahanaz Ayub
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 18
Year of Publication: 2012
Authors: Vikash Kumar, Jitu Sharma, Shahanaz Ayub
10.5120/7043-9486

Vikash Kumar, Jitu Sharma, Shahanaz Ayub . Image Compression using FFN for ROI and SPIHT for background. International Journal of Computer Applications. 46, 18 ( May 2012), 30-35. DOI=10.5120/7043-9486

@article{ 10.5120/7043-9486,
author = { Vikash Kumar, Jitu Sharma, Shahanaz Ayub },
title = { Image Compression using FFN for ROI and SPIHT for background },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 18 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 30-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number18/7043-9486/ },
doi = { 10.5120/7043-9486 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:40:06.659867+05:30
%A Vikash Kumar
%A Jitu Sharma
%A Shahanaz Ayub
%T Image Compression using FFN for ROI and SPIHT for background
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 18
%P 30-35
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The objective of this paper is to develop different method for image compression without reducing the resolution for Region of Interest in the images. Mostly medical images for diagnosis purpose have some specific region; this region is known as Region of Interest (ROI). Here we separate our ROI from background and then apply Feed Forward Neural Network (FFN) compression to ROI and background is compressed using Set Partitioning in Hierarchical Tree (SPIHT) Technique. This paper is in the context to understand the FFN technique which provides low compression by maintaining images resolution of ROI whereas SPIHT technique which gives very high compression ratio for the background. Thus the combination of compressed ROI and compressed background will result in an image with highly compressed background without effecting image resolution of ROI.

References
  1. R. C. Gonzalez and R. E. Woods, "Digital Image Processing", Addision Wesley, New York, USA, 1981.
  2. Janaki. R, Tamilarasi. A, "Enhanced ROI (Region of Interest Algorithms) for Medical Image Compression", International Journal of Computer Applications (0975 – 8887), Volume 38– No. 2, pp. 38-43, January 2012
  3. Yao He, Ling Tong, Mingquan Jia, "A Compression Image Method Combining Wavelet Transform with SVD", ICCP 2011 Proceedings.
  4. MATLAB, MATHWORKS INC. , MATLAB7. 12. 0 (R2011a).
  5. W. K. Yeo, David F. W. Yap, K. C. Lim, Andito D. P. , M. K. Suaidi, T. H. Oh, "A Feed Forward Neural Network Compression with Near to Lossless Image Quality and Lossy Compression Ratio", Proceedings of 2010 IEEE Student Conference on Research and Development (SCOReD 2010), 13 - 14 Dec 2010, Putrajaya, Malaysia
  6. Dipta Pratim Dutta, Samrat Deb Choudhury, Md. Anwar Hussain, Swanirbhar Majumder, "Digital Image Compression using Neural Networks", 2009 ICACCTT.
  7. E. Atsumi and N. Farvardin, "Lossy/lossless region of interest coding based on set partitioning in hierarchical trees," in Proceedings of ICIP, vol. 1, pp. 87-91, 1998.
Index Terms

Computer Science
Information Sciences

Keywords

Roi Spiht Ffn.

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