Paper
18 January 2004 Near-lossless compression of digital terrain elevation data
Author Affiliations +
Proceedings Volume 5308, Visual Communications and Image Processing 2004; (2004) https://doi.org/10.1117/12.523427
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
In critical applications of image compression that are sensitive to information loss, lossless compression techniques are usually employed. The compression ratios obtained from lossless techniques are low. Hence we need different schemes that give quantitative guarantees about the type and amount of distortion incurred, viz. near-lossless compression methods. In this paper, we explore hybrid techniques for near-lossless image compression based on error bound per pixel and apply them to Digital Terrain Elevation Data (DTED). We develop multi-stage quantization methods and other hybrid schemes using SPIHT as an embedded lossy coder. The methods developed are scalable with a control on maximum allowable deviation per pixel in the reconstruction. We compare the results obtained by these methods with JPEG-LS, the standard for lossless and near-lossless compression. Results show that these methods usually perform better than JPEG-LS in terms of compression performance and have additional features useful for progressive transmission.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ramesh V. Panchagnula and William A. Pearlman "Near-lossless compression of digital terrain elevation data", Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); https://doi.org/10.1117/12.523427
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KEYWORDS
Image compression

Quantization

Tolerancing

Reconstruction algorithms

Distortion

Algorithm development

Data compression

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