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Improved Method for Disparity Estimation and Compression of Stereo Images with Varied Angle of Separation

by D. Chandradevi, M. Sundaresan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 145 - Number 3
Year of Publication: 2016
Authors: D. Chandradevi, M. Sundaresan
10.5120/ijca2016910523

D. Chandradevi, M. Sundaresan . Improved Method for Disparity Estimation and Compression of Stereo Images with Varied Angle of Separation. International Journal of Computer Applications. 145, 3 ( Jul 2016), 45-51. DOI=10.5120/ijca2016910523

@article{ 10.5120/ijca2016910523,
author = { D. Chandradevi, M. Sundaresan },
title = { Improved Method for Disparity Estimation and Compression of Stereo Images with Varied Angle of Separation },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 145 },
number = { 3 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 45-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume145/number3/25262-2016910523/ },
doi = { 10.5120/ijca2016910523 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:47:50.147031+05:30
%A D. Chandradevi
%A M. Sundaresan
%T Improved Method for Disparity Estimation and Compression of Stereo Images with Varied Angle of Separation
%J International Journal of Computer Applications
%@ 0975-8887
%V 145
%N 3
%P 45-51
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents different sight point images of entity used to stereo image compression. The images are actual time images, stereo images of five objects taken between 10, 30 and 50 degree angles. The left image is used as reference image first and then right image has been used as the reference image. Images with different angles were intensified and outcomes were evaluated. In this work, compression time, decompression time and disparity results are superior when right image is used as the reference when compared to left image. But the PSNR values have shown a lower value that resulted in lesser quality of images.

References
  1. A.Loussert, A.Alfalow, R.Elsawda and A.Alkholidi, “Enhanced Systems for Images Compression and Encryption by addition of Biometric Characteristics”, International Journal of Software Engineering and its Application, Vol.2, No.2, April 2008, PP 111-118.
  2. Anil.K.Jain, “Fundamental of Digital Image Processing”, PHI, 1991.
  3. Ashish Agarwal, “Compressing Stereo Images Using a Reference Image and the Exhaustive Block Matching Algorithm to Estimate Disparity between the Two Images”, International Journal of Advanced Science and Technology, Vol. 32, July, 2011, PP 1-12.
  4. D.Chandradevi and M.Sundaresan, “Exhaustive Block Matching Algorithm to Estimate Disparity between Stereo Images“, (ISSN -7529; ISBN 978-93-80544-20-5) 10th INDIACom; INDIACom-2016; IEEE Conference ID: 37465 2016 3rd International Conference on Computing for Sustainable Global Development, 16-18th March, 2016, PP 4898-4903.
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  7. Tamas Frajka, Kenneth Teger, “Residual Image Coding for Stereo Image Compression”, Optical Engineering, Vol.42, No.1, January 2003, PP 1-8.
Index Terms

Computer Science
Information Sciences

Keywords

Stereo image compression Disparity Block matching algorithm

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