Results 11 to 20 of about 411 (87)

Deep Lossy Plus Residual Coding for Lossless and Near-Lossless Image Compression

IEEE Transactions on Pattern Analysis and Machine Intelligence
Lossless and near-lossless image compression is of paramount importance to professional users in many technical fields, such as medicine, remote sensing, precision engineering and scientific research. But despite rapidly growing research interests in learning-based image compression, no published method offers both lossless and near-lossless modes.
Yuanchao Bai, Xianming Liu, Kai Wang, Xiangyang Ji, Xiaolin Wu, Wen Gao   +5 more
openaire   +5 more sources

Spectral Distortion in Lossy Compression of Hyperspectral Data

Journal of Electrical and Computer Engineering, 2012
Distortion allocation varying with wavelength in lossy compression of hyperspectral imagery is investigated, with the aim of minimizing the spectral distortion between original and decompressed data.
Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Cinzia Lastri, Massimo Selva   +4 more
doaj   +1 more source

Virtually Lossless Compression of Astrophysical Images

EURASIP Journal on Advances in Signal Processing, 2005
We describe an image compression strategy potentially capable of preserving the scientific quality of astrophysical data, simultaneously allowing a consistent bandwidth reduction to be achieved.
Alparone Luciano, Lastri Cinzia, Aiazzi Bruno, Baronti Stefano   +3 more
doaj   +1 more source

Lossy And Near-Lossless Compression Of Depth Images Using Segmentation Into Constrained Regions

, 2012
Publication in the conference proceedings of EUSIPCO, Bucharest, Romania ...
Schiopu, Ionut, Tabus, I.
openaire   +1 more source

Information-theoretic assessment of lossy and near-lossless on-board hyperspectral data compression

, 2012
This paper proposes a Rate-Distortion model to measure the impact of lossy and near-lossless compression of raw data on the information conveyed once the lossy/near-lossless decompressed raw data have been converted to radiance units. Input variables of the model are the original uncompressed raw data and their measured noise variances, according to a ...
Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Leonardo Santurri   +3 more
openaire   +3 more sources

Lossless and Lossy Characterization of the State of Perturbed Anharmonic Diatomics: An Information-Theoretic Compaction of Quantum Dynamics. [PDF]

J Chem Theory Comput
Hamilton JR, Levine RD.
europepmc   +1 more source

Columba: fast approximate pattern matching with optimized search schemes. [PDF]

Bioinformatics
Renders L, Depuydt L, Gagie T, Fostier J.   +3 more
europepmc   +1 more source

Non-Uniform Entropy-Constrained <i>L</i>_∞ Quantization for Sparse and Irregular Sources. [PDF]

Entropy (Basel)
Alecu AA, Tahouri MA, Munteanu A, Păvăloiu B.   +3 more
europepmc   +1 more source

Lossless Compression of Large Field-of-View Infrared Video Based on Transform Domain Hybrid Prediction. [PDF]

Sensors (Basel)
Liu Y, Zhang R, Zhang Y, Chen Y.
europepmc   +1 more source

What We Talk About When We Talk About Microbial Species. [PDF]

Mol Ecol
Narechania A, Gopalakrishnan S, Gilbert MTP.   +2 more
europepmc   +1 more source