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Lossless compression of volume data

open access: yesProceedings of the 1994 symposium on Volume visualization - VVS '94, 1994
Data in volume form consumes an extraordinary amount of storage space. For efficient storage and transmission of such data, compression algorithms are imperative. However, most volumetric datasets are used in biomedicine and other scientific applications
James E. Fowler, Roni Yagel
openaire   +2 more sources

Lossless compression of seismic data

SEG Technical Program Expanded Abstracts 1996, 1996
A lossless method for seismic data compression has been developed. The method uses the idea of converting a signal data compression problem into a text compression problem. The conversion is based on data slicing, a reformatting process where the binary representation of a data set is rearranged, effectively separating compressible from uncompressible ...
Jeričević, Željko, Sitton, Gary A.
openaire   +3 more sources

Lossless compression of seismic data

Journal of the Franklin Institute, 2006
Data compression techniques are commonly used to achieve a low bit rate in the digital representation of signals for efficient processing, transmission, and storage. In this paper, a new technique for lossless compression of seismic data is introduced. The technique consists of two stages.
Abdulaziz O. Abanmi   +2 more
openaire   +1 more source

Lossless Compression of Cytometric Data

Cytometry Part A, 2019
AbstractNowadays, most cytometrists apply lossless compression by storing their FCS files in ZIP archives. Unfortunately, ZIP only achieves modest space savings in cytometric data, due to DEFLATE being used as the underlying lossless compression algorithm (LCA).
Anne E. Bras   +1 more
openaire   +3 more sources

Regression Wavelet Analysis for Near-Lossless Remote Sensing Data Compression [PDF]

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2020
Altres ajuts: Universitat Autònoma de Barcelona under Grant UAB-PIF-472/2015Regression wavelet analysis (RWA) is one of the current state-of-the-art lossless compression techniques for remote sensing data. This article presents the first regression-based
Sara Alvarez-Cortes   +2 more
exaly   +2 more sources

Lossless Compression of Climate Data

2015
In this paper, we address the problem of lossless, offline compression of climate data. We propose a technique for compression of climate data using combination of differential encoding and Huffman coding. This technique gives lossless data compression and reduces the number of bits required to encode a set of symbols,thereby leading to high ...
Bharath Chandra Mummadisetty   +3 more
openaire   +1 more source

Particle Algorithm for Lossless Data Compression

2006 IEEE International Conference on Systems, Man and Cybernetics, 2006
This paper presents a new generalized particle model (GPM) to generate the prediction coding for lossless data compression. The basic conception, parallel algorithm, properties and realization scheme of GPM are discussed. The proposed GPM approach has advantages over other serial lossless compression methods in terms of parallelism, scalability and ...
Dianxun Shuai   +2 more
openaire   +1 more source

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