Results 141 to 150 of about 514,774 (196)

Lossless compression of digital audio

IEEE Signal Processing Magazine, 2001
Lossless audio compression is likely to play an important part in music distribution over the Internet, DVD audio, digital audio archiving, and mixing. The article is a survey and a classification of the current state-of-the-art lossless audio compression algorithms.
R W Schafer
exaly   +3 more sources

A Lossless-by-Lossy Approach to Lossless Image Compression

2006 International Conference on Image Processing, 2006
This paper proposes a method of lossless image coding by the aid of lossy image coding. It aims at an improvement in the compression efficiency. We apply a kind of embedded coding to large coefficients in magnitude in a wavelet transform domain. The other wavelet coefficients are encoded by a context-based entropy coding.
Kazuma Shinoda, Hisakazu Kikuchi, Shogo Muramatsu   +2 more
openaire   +2 more sources

Lossless compression of AVIRIS images

IEEE Transactions on Image Processing, 1996
Adaptive DPCM methods using linear prediction are described for the lossless compression of hyperspectral (224-band) images recorded by the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS). The methods have two stages-predictive decorrelation (which produces residuals) and residual encoding.
R. E. Roger, Michael C. Cavenor
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, Saleh A. Alshebeili, Tariq Alamri   +2 more
openaire   +2 more sources

Lossless compression of Peanoscanned images

Journal of Electronic Imaging, 1994
Peanoscanning was used to obtain the pixels from an image by following a scan path described by a space-filling curve, the Peano-Hilbert curve. The Peanoscanned data were then compressed without loss of information by direct Huffrnan, arithmetic, and Lernpel-Ziv-Welch coding, as well as predictive and transform coding.
Joseph A. Provine, Rangaraj M. Rangayyan
openaire   +2 more sources

Lossless Compression of Random Forests

Journal of Computer Science and Technology, 2019
Ensemble methods are among the state-of-the-art predictive modeling approaches. Applied to modern big data, these methods often require a large number of sub-learners, where the complexity of each learner typically grows with the size of the dataset. This phenomenon results in an increasing demand for storage space, which may be very costly.
Amichai Painsky, Saharon Rosset
openaire   +2 more sources

Lossless compression of video sequences

IEEE Transactions on Communications, 1996
We investigate lossless compression schemes for video sequences. A simple adaptive prediction scheme is presented that exploits temporal correlations or spectral correlations in addition to spatial correlations. It is seen that even with motion compensation, schemes that utilize only temporal correlations do not perform significantly better than ...
Nasir D. Memon, Khalid Sayood
openaire   +1 more source

A progressive Lossless/Near-Lossless image compression algorithm

IEEE Signal Processing Letters, 2002
A 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.
N Memon, B Sankur
exaly   +2 more sources

Multiresolution lossless compression scheme

Proceedings of 3rd IEEE International Conference on Image Processing, 2002
A multiresolution lossless image compression scheme based on several new tools will be presented in this paper. An improved multiresolution Haar transform will be developed, combined with pre- and post-processing and with a new entropy coder, to give the overall compression scheme.
Patrick Piscaglia, Benoît Macq
openaire   +1 more source

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   +2 more sources