Results 191 to 200 of about 11,899,310 (240)

Lossless Compression of Microarray Images

2006 International Conference on Image Processing, 2006
Microarray experiments are characterized by a massive amount of data in the form of images. Since the interest in microarray technology is growing nowadays, a large number of microarray images is currently being produced. In this paper, we present a lossless method for efficiently compress microarray images based on arithmetic coding using a 3D context
António J. R. Neves, Armando J. Pinho
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Hypergraphs for Generic Lossless Image Compression

Fundamenta Informaticae, 2009
Hypergraphs are a large generalisation of graphs; they are now used for many low-level image processing, by example for noise reduction, edge detection and segmentation [3, 4, 7]. In this paper we define a generic 2D and 3D-image representation based on a hypergraph.
Luc Gillibert, Alain Bretto
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A chip set for lossless image compression

IEEE Journal of Solid-State Circuits, 1991
The authors describe two chips which form the basis of a high-speed lossless image compression/decompression system. They present the transform and coding algorithms and the main architectural features of the chips and outline some performance specifications.
Imran Shah, Olu Akiwumi-Assani, Brian Johnson   +2 more
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Lossless compression of medical images

[1991] Computer-Based Medical Systems@m_Proceedings of the Fourth Annual IEEE Symposium, 2002
Lossless compression of magnetic resonance images is reviewed using both the theoretical and implementation models. The compression level of selected algorithms (Lempel-Ziv and Huffman) are compared against the first-order, second-order, and conditional entropies.
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Adaptive Predictor for Lossless Image Compression

Computing, 1999
A new method for lossless image compression of grey-level images is proposed. The image is treated as a set of stacked bit planes. The compressed version of the image is represented by residuals of a non-linear local predictor spanning the current bit plane as well as a few neighbouring ones.
Václav Hlavác, Jaroslav Fojtík
openaire   +1 more source

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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Multiband Lossless Compression of Hyperspectral Images

IEEE Transactions on Geoscience and Remote Sensing, 2009
Hyperspectral images exhibit significant spectral correlation, whose exploitation is crucial for compression. In this paper, we investigate the problem of predicting a given band of a hyperspectral image using more than one previous band. We present an information-theoretic analysis based on the concept of conditional entropy, which is used to assess ...
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Lossless and near-lossless compression of still color images

Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), 2003
This paper proposes a unified coding algorithm for lossless and near-lossless color image compression that exploits the correlations between RGB signals. For lossless coding, a reversible color transform is proposed that removes the correlations between RGB signals while avoiding any finite word length limitation.
Takayuki Nakachi, Tatsuya Fujii, Junji Suzuki   +2 more
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Lossless and near-lossless image compression with color transformations

Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002
A comparison of lossless compression results is given for RGB, YC/sub R/C/sub B/ and reversible JPEG 2000 color space. The paper describes the general conditions that rounding errors of a color transformation do not cumulate in the consecutive cycles of forward and inverse transformation.
Marek Domanski, Krzysztof Rakowski
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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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