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Near-lossless bandwidth compression for radiometric data
Optical Engineering, 1991We present a bandwidth compression scheme suitable for transmission of radiometric data collected bytoday's sensitive and high-resolution sensors. Specific design constraints associated with this application are requirements for (1) near-lossless coding, (2) handling of a high dynamic range, and (3) placement of an upper bound on maximum coding error ...
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Single-rate near lossless compression of animated geometry
Computer-Aided Design, 2009Representing mesh geometry in local rather than the world coordinate systems is very useful in many 3D animation processing applications. One can investigate the representation of vertex locations relative to a local coordinate frame (LCF) in the compression of dynamic 3D meshes.
Rachida Amjoun, Wolfgang Straßer
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Near lossless data compression onboard a hyperspectral satellite
IEEE Transactions on Aerospace and Electronic Systems, 2006To deal with the large volume of data produced by hyperspectral sensors, the Canadian Space Agency (CSA) has developed and patented two near lossless data compression algorithms for use onboard a hyperspectral satellite: successive approximation multi-stage vector quantization (SAMVQ) and hierarchical self-organizing cluster vector quantization (HSOCVQ)
Shen-en Qian +4 more
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A progressive Lossless/Near-Lossless image compression algorithm
IEEE Signal Processing Letters, 2002A novel image compression technique is presented that incorporates progressive transmission and near-lossless compression in a single framework. Experimental performance of the proposed coder proves to be competitive with the state-of-the-art compression schemes.
I. Avcibas +3 more
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Distributed near lossless compression algorithm for hyperspectral images
Computers & Electrical Engineering, 2014Abstract This paper presents a new near lossless compression algorithm for hyperspectral images based on distributed source coding. The algorithm is performed on blocks that have the same location and size in each band. Because the importance varies from block to block along the spectral orientation, an adaptive rate allocation algorithm that weights
Yongjian Nian, Mi He, Jianwei Wan
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Onboard Near-Lossless Data Compression Techniques
2013The vector-quantization-based lossy compression algorithms discussed in Chapter 4 can easily achieve compression ratios of 50:1 or more if some loss in fidelity of the reconstructed data can be tolerated in exchange for the higher compression ratio. Caution must be taken when a lossy data compression algorithm is applied to satellite data. For example,
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Scalable near-lossless video compression based on HEVC
2017 IEEE Visual Communications and Image Processing (VCIP), 2017Lossless or near-lossless video compression with a certain maximum absolute reconstruction error is required in many professional applications like archiving or medical imaging. However, lossless coding resulting in rather high bit rates and near-lossless coding being traditionally used and especially optimized for still image coding prevents these ...
Andreas Heindel, Andre Kaup
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Near-lossless compression for high frame rate videos
2013 21st Iranian Conference on Electrical Engineering (ICEE), 2013The widespread usage of internet, limited bandwidth of networks and different types of media all around the net causes a vast growth in compressing data with different abilities and qualities. Nowadays, video is a popular media for everyday usage. In different research areas, there is a need for recording events in high frame rates.
Najmeh Nazari +3 more
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Optimal subtractive dither for near-lossless compression
Proceedings DCC 2000. Data Compression Conference, 2002Subtractive dither is a technique which may be used to reduce the occurrence of compression artifacts from near-lossless compression. Standard subtractive dither incurs a cost, however, in the form of an increase in rate and distortion, and by giving the reconstructed signal an overall grainy appearance.
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Lossless and near-lossless compression of EEG signals
Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136), 2002In this paper we study compression techniques for electroencephalograph (EEG) signals. A variety of lossless compression techniques, ranging from simple dictionary based approaches to more sophisticated context modeling techniques based on work in lossless image coding are investigated and compared.
J. Cinkler, X. Kong, N. Memon
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