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A Novel Real Time Algorithm for Remote Sensing Lossless Data Compression based on Enhanced DPCM

by P. Ghamisi, A. Mohammadzadeh, M. R. Sahebi, F. Sepehrband, J. Choupan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 27 - Number 1
Year of Publication: 2011
Authors: P. Ghamisi, A. Mohammadzadeh, M. R. Sahebi, F. Sepehrband, J. Choupan
10.5120/3263-4402

P. Ghamisi, A. Mohammadzadeh, M. R. Sahebi, F. Sepehrband, J. Choupan . A Novel Real Time Algorithm for Remote Sensing Lossless Data Compression based on Enhanced DPCM. International Journal of Computer Applications. 27, 1 ( August 2011), 47-53. DOI=10.5120/3263-4402

@article{ 10.5120/3263-4402,
author = { P. Ghamisi, A. Mohammadzadeh, M. R. Sahebi, F. Sepehrband, J. Choupan },
title = { A Novel Real Time Algorithm for Remote Sensing Lossless Data Compression based on Enhanced DPCM },
journal = { International Journal of Computer Applications },
issue_date = { August 2011 },
volume = { 27 },
number = { 1 },
month = { August },
year = { 2011 },
issn = { 0975-8887 },
pages = { 47-53 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume27/number1/3263-4402/ },
doi = { 10.5120/3263-4402 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:12:42.593283+05:30
%A P. Ghamisi
%A A. Mohammadzadeh
%A M. R. Sahebi
%A F. Sepehrband
%A J. Choupan
%T A Novel Real Time Algorithm for Remote Sensing Lossless Data Compression based on Enhanced DPCM
%J International Journal of Computer Applications
%@ 0975-8887
%V 27
%N 1
%P 47-53
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, simplicity of prediction models for image transformation is used to introduce a low complex and efficient lossless compression method for LiDAR rasterized data and RS grayscale images based on improving the energy compaction ability of prediction models. Further, proposed method is applied on some RS images and LiDAR test cases, and the results are evaluated and compared with other compression methods such as lossless JPEG and lossless version of JPEG2000. Results indicate that the proposed lossless compression method causes the high speed transmission system because of good compression ratio and simplicity and suggest to use in real time processing.

References
  1. Ghamisi, P. and Sepehrband. F, and Mohammadzadeh, A. and Mortazavi, M. and Choupan, J., 2011. “Fast and efficient algorithm for real time lossless compression of lidar rasterized data based on improving energy compaction,” in 6th IEEE GRSS and ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, Munich, Germany,
  2. McGlone, J. C., 2004. Manual of photogrammetry. Bethesda: ASPRS, vol. fifth.
  3. Foos, E. M. and Slone, R. and Erickson, B. and Flynn, M. and Clunie, D. and Hildebrand, L. and Kohm, K. and Young, S., 2000 . “Jpeg2000 compression of medical imagery,” in DICOM SPIE MI, vol. 3980, San Diego.
  4. Calderbank, R. and Daubechies, I. and Sweldens, W. and Yeo, B. L., Oct 1997, “Lossless image compression using integer to integer wavelet transforms,” in Proc. ICIP-97, IEEE International Conference on Image, vol. 1, Santa Barbara, Callifornia, pp. 596–599.
  5. Skodras, A. and Christopoulos, C. and Ebrahimi, T., sept 2001. “The jpeg2000 still image compression standard,” IEEE Signal Processing Magazine, pp. 36–58.
  6. Sepehrband, F. and Choupan, J. and Mortazavi, M., 2011 “Simple and effcient lossless and near-lossless transformation method for grayscale medical images,” in SPIE medical imaging, Florida, USA.
  7. Ebrahimi, T. and Cruz D. S. and Askelof, J. and Larsson, M. and Christopoulos, C., 2000. “Jpeg 2000 still image coding versus other standards,” in SPIE Int. Symposium, San Diego California USA, 30 Jul - 4, invited paper in Special Session on JPEG2000.
  8. Jensen, J. R, 2007. Remote sensing of environment: an earth recourse perspective. University of South Carolina, vol. second.
  9. Gonzales. R and Woods, R., 2008, Digital Image Processing, 3rd ed. New Jersey: Pearson Prentice Hall, Upper Saddle River,, pp. 525-626.
  10. Sepehrband, F. and Ghamisi, P. and Mortazavi, M. and Choupan, J., December 2010 “Simple and efficient remote sensing image transformation for lossless compression,” in ICSIP proc., Changsha, China.
  11. Starosolski, R., , 2007. “Simple fast and adaptive lossless image compression algorithm,” SOFTWARE-PRACTICE AND EXPERIENCE, Wiley InterScience, pp. 37–56.
  12. Savakis, A. and Piorun, M. , Sept 2002, “Benchmarking and hardware implementation of jpeg-ls,” in ICIP’02, Rochester, NY, Sept 2002.
Index Terms

Computer Science
Information Sciences

Keywords

Remote Sensing (RS) Lossless Compression LiDAR Technology Enhanced DPCM Transform

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