Results 141 to 150 of about 28,466 (187)

Lossless compression of multispectral image data

IEEE Transactions on Geoscience and Remote Sensing, 1994
While spatial correlations are adequately exploited by standard lossless image compression techniques, little success has been attained in exploiting spectral correlations when dealing with multispectral image data. The authors present some new lossless image compression techniques that capture spectral correlations as well as spatial correlation in a ...
Nasir D. Memon, Khalid Sayood, Spyros S. Magliveras   +2 more
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On-line lossless mocap data compression

2009 IEEE International Symposium on Circuits and Systems, 2009
We investigate efficient on-line lossless coding of motion capture (mocap) data in this work. The mocap data consist of a set of curves as the temporal trajectory of variables known as the degrees of freedom (dofs). To achieve compression, we sample each dof's curve temporally, interpolate the curve by a piece-wise Hermite spline as the prediction, and
May-Chen Kuo, Pei-Ying Chiang, Jessy Lee, C.-C. Jay Kuo   +3 more
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A new lossless data compression method

2009 IEEE International Conference on Multimedia and Expo, 2009
This paper presents a new lossless data compression method which can be used for the next-generation image and video codec. As an alternative system for CABAC (Context Adaptive Binary Arithmetic Coder), a new binary coding algorithm is introduced. However, this method can be applicable to any kind of symbols.
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Lossless data compression techniques

Proceedings of WESCON '94, 2002
Data compression, all of a sudden in the 1990s, has become a huge market. Virtually all operating systems now contain some data compression utility. Compression software packages or plug-in boards can more than double storage capacity in PC disc drives. The data compression method in the V.42bis modem standard, used by more than 50 modem manufacturers,
K. Holtz, E. Holtz
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Efficiency of lossless data compression

2011
Data compression is important part of information and communication technologies. There are many benefits from using data compression, like saving space on hard drives or lowering use of transmission bandwidth in the network. There are also many algorithms and many tools that are used today in this field.
Kudelić, Robert, Lovrenčić, Alen, Konecki, Mladen   +2 more
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Lossless Compression of CCD Sensor Data

2005
An evaluation of lossless image compression methods applied to CCD sensor data is provided. Ten different image compression algorithms were tested on an image set of more than 200 images organised according to the Bayer pattern configuration. The results show that Glicbawls is the best performing algorithm providing the highest compression ratio ...
Gerald Schaefer, Joanna Obstoj
openaire   +1 more source

Lossless compression of ionogram data

Proceedings of 13th International Conference on Digital Signal Processing, 2002
A method for lossless compression of binary data is presented. To remove the redundancies among the data points, a linear predictive scheme is proposed and the coefficients are optimised in the sense of minimum mean square error. An arithmetic coder is then used to code the prediction errors.
null Hua Ye, J.C. Devlin, null Guang Deng   +2 more
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Lossless compression of seismic data

[1992] Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers, 2003
A description and comparative study of three different waveform data compression schemes are presented. All three schemes are lossless, that is, decompression results in exact recovery of the original data samples. The first technique uses linear prediction followed by residue sequence encoding.
C.V. Peterson, C.R. Hutt
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NEAR-LOSSLESS COMPRESSION OF REMOTE-SENSING DATA

2003
This paper describes data compression algorithms capable to preserve the scientific quality of remote-sensing data, yet allowing a considerable bandwidth reduction to be achieved. Unlike lossless techniques, by which a moderate compression ratio (CR) is attainable, due to the intrinsic noisiness of the data, and conventional lossy techniques, in which ...
Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Cinzia Lastri   +3 more
openaire   +4 more sources

Near-lossless compression of coherent image data

Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002
Near-lossless compression yielding strictly bounded reconstruction error, is extended to preserved the radiometric resolution of data produced by coherent imaging systems. A noncausal DPCM, based on the Rational Laplacian Pyramid (RLP), recently introduced by the authors for despeckling, is adjusted to this purpose. The baseband icon of the RLP is DPCM
Bruno Aiazzi, Stefano Baronti, Luciano Alparone   +2 more
openaire   +4 more sources