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Lossless compression of volume data
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
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Lossless compression of seismic data
SEG Technical Program Expanded Abstracts 1996, 1996A 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.
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Lossless compression of seismic data
Journal of the Franklin Institute, 2006Data 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
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Lossless Compression of Cytometric Data
Cytometry Part A, 2019AbstractNowadays, 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
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Regression Wavelet Analysis for Near-Lossless Remote Sensing Data Compression [PDF]
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
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Lossless Compression of Climate Data
2015In 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
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Particle Algorithm for Lossless Data Compression
2006 IEEE International Conference on Systems, Man and Cybernetics, 2006This 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
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