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ISO standards / Information theory / Computer graphics / Image processing / Wavelets / Lossless data compression / JPEG / Image compression / Lossy compression / Graphics file formats / Data compression / Computing


CCCG 2007, Ottawa, Ontario, August 20–22, 2007 Image Compression Terrain Simplification Boaz Ben-Moshe∗ Liad Serruya†
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Document Date: 2008-10-28 21:28:37


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City

Ottawa / /

Company

Control Division Information Sciences Laboratory / GPU / Norm M SE M AE / GIS / J. Comp. / M SE M AE / Joint Photographic Experts Group / /

Country

Australia / Israel / /

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Facility

Carnegie Mellon University / College of Judea / /

IndustryTerm

navigation systems / digital image processing algorithms / progcode image processing algorithm yields / terrain simplification algorithm / polygonal surface simplification algorithms / wavelet technology / digital image processing method / digital image processing aspect / real-time visualization / suggested algorithm / front terrain triangulation algorithm / digital terrain simplification algorithm / geographic information systems / terrain simplification algorithms / energy / /

NaturalFeature

Smooth Mountains / /

Organization

College of Judea and Samaria / Department of Computer Science / Carnegie Mellon University / JP EG / Interdisciplinary Center / /

Person

Boaz Ben-Moshe / Ariel Shamir / /

Product

Franklin / /

ProgrammingLanguage

R / /

ProvinceOrState

Ontario / /

Technology

terrain simplification algorithms / front terrain triangulation algorithm / digital terrain simplification algorithm / DIP algorithms / Remote Sensing / Image Compression / known digital image processing algorithms / terrain simplification algorithm / polygonal surface simplification algorithms / Image Processing / wavelet technology / /

URL

http /

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