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Updated: Aug 29, 2026

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
Published on: April 18, 2025
Efficient storage and transmission of ladar imagery
Joseph C Dagher1, Michael W Marcellin, Mark A Neifeld
1Optical Sciences Center and the Department of Electrical and Computer Engineering, The University of Arizona, Tucson, Arizona 85721, USA. joseph@ece.arizona.edu
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 show that, for lossless compression, three-dimensional volumes compress more efficiently than two-dimensional (2D) images by a factor of 60%. Furthermore, our error metric for lossy compression suggests that accumulating more than nine range images in one volume before compression yields as much as a 99% improvement in compression performance over 2D compression.
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