Results 171 to 180 of about 3,598 (204)

Evolutionary lossless compression with GP-ZIP

2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), 2008
In recent research we proposed GP-zip, a system which uses evolution to find optimal ways to combine standard compression algorithms for the purpose of maximally losslessly compressing files and archives. The system divides files into blocks of predefined length.
Ahmed Kattan, Riccardo Poli
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Lossless Image Compression with BCTW

2006 International Conference on Image Processing, 2006
We present a new lossless image compression algorithm called BCTW, for bitplane context tree weighting, and a corresponding study into lossless image compression using several number representations and various algorithms. BCTW processes the image bitplane by bitplane and uses Context Tree Weighting (CTW) to estimate the probability of each pixel bit ...
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Lossless-by-Lossy Coding for Scalable Lossless Image Compression

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2008
This paper presents a method of scalable lossless image compression by means of lossy coding. A progressive decoding capability and a full decoding for the lossless rendition are equipped with the losslessly encoded bit stream. Embedded coding is applied to large-amplitude coefficients in a wavelet transform domain.
Kazuma Shinoda, Hisakazu Kikuchi, Shogo Muramatsu   +2 more
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Visually Lossless HTML Compression

2009
The verbosity of the Hypertext Markup Language (HTML) remains one of its main weaknesses. This problem can be solved with the aid of HTML specialized compression algorithms. In this work, we describe a visually lossless HTML transform that, combined with generally used compression algorithms, allows to attain high compression ratios.
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LZAC lossless data compression

Proceedings DCC 2002. Data Compression Conference, 2003
Summary form only given. This paper presents LZAC, a new universal lossless data compression algorithm derived from the popular and widely used LZ77 family. The objective of LZAC is to improve the compression ratios of the LZ77 family while still retaining the family's key characteristics: simple, universal and fast in decoding and economical in memory
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Lossless Compression of Digital Mammograms

2006
The file size of images generated using digital mammography systems varies between 8 MB and 50 MB. The amount of data to be stored in digital screening programs is huge. Image compression may be helpful. In this study 8491 digital and digitised mammography images are compressed using 14 lossless compression schemes. The results show that using lossless
R. Visser, L. Oostveen, Nico Karssemeijer   +2 more
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Lossless and Near-Lossless Compression for Mammographic Digital Images

2006 International Conference on Image Processing, 2006
In this paper, a method for lossless and near lossless compression of large digital mammograms is proposed. This method is based on a predictive coder that uses integer-to-integer operations, and generates a two-layer embedded bit stream (i.e. near-lossless and refinement layer). The maximum tolerated pixel distortion is guaranteed in the near lossless
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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 volume compression for PACS

Journal of Telemedicine and Telecare, 1996
M M Reid, R J Millar, N D Black
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Lossless Compression

The Computer Journal, 1997
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