Results 191 to 200 of about 10,310 (245)

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, K Sayood
exaly   +2 more sources

Secure lossless compression

2018 52nd Annual Conference on Information Sciences and Systems (CISS), 2018
The framework of secrecy by design is introduced and the fundamental limits of lossless data compression are analyzed for this setting. The main idea behind secrecy by design is to begin with an operational secrecy constraint, which is modeled by a secrecy function f s , and then to derive fundamental limits for the performance of the resulting secrecy
Yanina Y. Shkel, Rick S. Blum, H. Vincent Poor   +2 more
openaire   +1 more source

Semi-lossless text compression

Data Compression Conference, 2004. Proceedings. DCC 2004, 2004
A new notion, that of semi-lossless text compression, is introduced, and its applicability in various settings is investigated. First results suggest that it might be hard to exploit the additional redundancy of English texts, but the new methods could be useful in applications where the correct spelling is not important, such as in short emails, and ...
Yair Kaufman, Shmuel T. Klein
openaire   +3 more sources

Lossless compression of already compressed textures

Proceedings of the ACM SIGGRAPH Symposium on High Performance Graphics, 2011
Texture compression helps rendering by reducing the footprint in graphics memory, thus allowing for more textures, and by lowering the number of memory accesses between the graphics processor and memory, increasing performance and lowering power consumption.
Jacob Ström, Per Wennersten
openaire   +1 more source

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   +1 more source

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   +1 more source

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   +1 more source

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   +1 more source

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

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