Compression of LADAR imagery

Joseph C. Dagher; Michael W. Marcellin; Mark A. Neifeld

doi:10.1117/12.503160

Compression of LADAR imagery

Joseph C. Dagher, Michael W. Marcellin, Mark A. Neifeld

Research output: Contribution to journal › Conference article › peer-review

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%.

Original language	English (US)
Pages (from-to)	1193-1203
Number of pages	11
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5150 II
DOIs	https://doi.org/10.1117/12.503160
State	Published - 2003
Event	Visual Communications and Image Processing 2003 - Lugano, Switzerland Duration: Jul 8 2003 → Jul 11 2003

Keywords

Compression
Laser RADAR
Range imagery
Volumetric imagery

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.503160

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title = "Compression of LADAR imagery",

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%.",

keywords = "Compression, Laser RADAR, Range imagery, Volumetric imagery",

author = "Dagher, {Joseph C.} and Marcellin, {Michael W.} and Neifeld, {Mark A.}",

year = "2003",

doi = "10.1117/12.503160",

language = "English (US)",

volume = "5150 II",

pages = "1193--1203",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

publisher = "SPIE",

note = "Visual Communications and Image Processing 2003 ; Conference date: 08-07-2003 Through 11-07-2003",

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T1 - Compression of LADAR imagery

AU - Dagher, Joseph C.

AU - Marcellin, Michael W.

AU - Neifeld, Mark A.

PY - 2003

Y1 - 2003

N2 - 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%.

AB - 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%.

KW - Compression

KW - Laser RADAR

KW - Range imagery

KW - Volumetric imagery

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DO - 10.1117/12.503160

M3 - Conference article

SN - 0277-786X

VL - 5150 II

SP - 1193

EP - 1203

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Visual Communications and Image Processing 2003

Y2 - 8 July 2003 through 11 July 2003

ER -

Compression of LADAR imagery

Abstract

Keywords

ASJC Scopus subject areas

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