Results 1 to 10 of about 35,403 (321)

l bnl compress: Lossy but not lossy compression, a python script to compress MX data [PDF]

Structural Dynamics
l_bnl_compress.py is a python script implementing the lossy compressions described in [1] for macromolecular crystallographic diffraction data. The lossy compressions use pixel-by-pixel binning, image-by-image summing, JPEG-2000 Daubechies (DB) wavelet ...
Herbert J Bernstein, Jean Jakoncic
doaj   +3 more sources

Thouless-Anderson-Palmer Approach for Lossy Compression [PDF]

Physical Review E, 2003
We study an ill-posed linear inverse problem, where a binary sequence will be reproduced using a sparce matrix. According to the previous study, this model can theoretically provide an optimal compression scheme for an arbitrary distortion level, though ...
C.E. Shannon, N. Sourlas, T.J. Richardson, Tatsuto Murayama, Y. Kabashima, Y. Kabashima, Y. Matsunaga   +6 more
core   +5 more sources

Belief Propagation Optimization for Lossy Compression Based on Gaussian Source [PDF]

Sensors, 2023
In the Internet of Things, sensor nodes collect environmental information and utilize lossy compression for saving storage space. To achieve this objective, high-efficiency compression of the continuous source should be studied.
Huan Deng, Dan Song, Zhiping Xu, Yanglong Sun, Lin Wang   +4 more
doaj   +2 more sources

Universality of Logarithmic Loss in Fixed-Length Lossy Compression [PDF]

Entropy, 2019
We established a universality of logarithmic loss over a finite alphabet as a distortion criterion in fixed-length lossy compression. For any fixed-length lossy-compression problem under an arbitrary distortion criterion, we show that there is an ...
Albert No
doaj   +2 more sources

Toward Extreme Lossy Compression Data to Enable Higher Data Rates MX [PDF]

Structural Dynamics
At last, a useful lossy compression method is available for MX crystallographic data. One could achieve a compression ratio as high as 3000 to 1, but with data loss so high that structural data can’t be interpreted faithfully.
Jean Jakoncic, Herbert J Bernstein
doaj   +2 more sources

Unlocking the potential of digital pathology: Novel baselines for compression [PDF]

Journal of Pathology Informatics
Digital pathology offers a groundbreaking opportunity to transform clinical practice in histopathological image analysis, yet faces a significant hurdle: the substantial file sizes of pathological whole slide images (WSIs).
Maximilian Fischer, Peter Neher, Peter Schüffler, Sebastian Ziegler, Shuhan Xiao, Robin Peretzke, David Clunie, Constantin Ulrich, Michael Baumgartner, Alexander Muckenhuber, Silvia Dias Almeida, Michael Gőtz, Jens Kleesiek, Marco Nolden, Rickmer Braren, Klaus Maier-Hein   +15 more
doaj   +2 more sources

The Cosmos and Crystal Connection: What We Can Learn About Data Compression [PDF]

Structural Dynamics
We use both lossy and lossless compression methods to reduce large amounts of digital data, making it easier to store and manage. Lossy and lossless compression is frequently used in astronomy, to condense the large amount of data collected by ...
Kimberly M. Horvat, Herbert J. Bernstein, Alexei S. Soares, Jean Jakoncic   +3 more
doaj   +2 more sources

Impact of lossy compression of X-ray projections onto reconstructed tomographic slices. [PDF]

J Synchrotron Radiat, 2020
Marone F, Vogel J, Stampanoni M.
europepmc   +3 more sources

Lossy Compression of Individual Sequences Revisited: Fundamental Limits of Finite-State Encoders. [PDF]

Entropy (Basel)
Merhav N.
europepmc   +3 more sources

Massive compression for high data rate macromolecular crystallography (HDRMX): impact on diffraction data and subsequent structural analysis [PDF]

Journal of Synchrotron Radiation
New higher-count-rate, integrating, large-area X-ray detectors with framing rates as high as 17400 images per second are beginning to be available.
Herbert J. Bernstein, Alexei S. Soares, Kimberly Horvat, Jean Jakoncic   +3 more
doaj   +2 more sources