Compression of LADAR imagery
Joseph C. Dagher, Michael W. Marcellin, Mark Allen Neifeld · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
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%.