Paper
23 June 2003 Compression of LADAR imagery
Author Affiliations +
Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.503160
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland
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%.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joseph C. Dagher, Michael W. Marcellin, and Mark A. Neifeld "Compression of LADAR imagery", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.503160
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KEYWORDS
Image compression

Sensors

3D image processing

LIDAR

JPEG2000

3D metrology

Clouds

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