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Proceedings Paper

Compression of LADAR imagery
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Paper Abstract

We develop novel methods for compressing volumetric imagery that has been generated by single platform (mobile) range sensors. We exploit the correlation structure inherent in multiple views in order to improve compression efficiency. We evaluate the performance of various two-dimensional (2D) compression schemes on the traditional 2D range representation. We then introduce a three-dimensional (3D) representation of the range measurements and show that, for lossless compression, 3D volumes compress more efficiently than 2D images by a factor of 60%.

Paper Details

Date Published: 23 June 2003
PDF: 11 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.503160
Show Author Affiliations
Joseph C. Dagher, Optical Sciences Ctr./Univ. of Arizona (United States)
Michael W. Marcellin, Optical Sciences Ctr./Univ. of Arizona (United States)
Mark A. Neifeld, Optical Sciences Ctr./Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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