ALP: Adaptive Lossless floating-Point Compression
IEEE 754 doubles do not exactly represent most real values, introducing rounding errors in computations and [de]serialization to text. These rounding errors inhibit the use of existing lightweight compression schemes such as Delta and Frame Of Reference (
Azim Afroozeh, Leonardo Kuffó, P. Boncz
semanticscholar +1 more source
HOW DOES SHANNON’S SOURCE CODING THEOREM FARE IN PREDICTION OF IMAGE COMPRESSION RATIO WITH CURRENT ALGORITHMS? [PDF]
Images with large volumes are generated daily with the advent of advanced sensors and platforms (e.g., satellite, unmanned autonomous vehicle) of data acquisition. This incurs issues on the storage, processing, and transmission of images. To address such
X. Cheng, Z. Li, Z. Li
doaj +1 more source
Multiscale deep context modeling for lossless point cloud geometry compression [PDF]
We propose a practical deep generative approach for lossless point cloud geometry compression, called MSVoxelDNN, and show that it significantly reduces the rate compared to the MPEG G-PCC codec. Our previous work based on autoregressive models (VoxelDNN
D. Nguyen +3 more
semanticscholar +1 more source
FCLQC: fast and concurrent lossless quality scores compressor
Background Advances in sequencing technology have drastically reduced sequencing costs. As a result, the amount of sequencing data increases explosively.
Minhyeok Cho, Albert No
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LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network [PDF]
Recent learning-based lossless image compression methods encode an image in the unit of subimages and achieve comparable performances to conventional non-learning algorithms.
Hochang Rhee, Y. Jang, Seyun Kim, N. Cho
semanticscholar +1 more source
Learning Better Lossless Compression Using Lossy Compression [PDF]
We leverage the powerful lossy image compression algorithm BPG to build a lossless image compression system. Specifically, the original image is first decomposed into the lossy reconstruction obtained after compressing it with BPG and the corresponding ...
Fabian Mentzer +2 more
semanticscholar +1 more source
A Novel Rate Control Algorithm for Onboard Predictive Coding of Multispectral and Hyperspectral Images [PDF]
Predictive coding is attractive for compression onboard of spacecrafts thanks to its low computational complexity, modest memory requirements and the ability to accurately control quality on a pixel-by-pixel basis.
Magli, Enrico, Valsesia, Diego
core +2 more sources
Lossless Compression of Hexahedral Meshes [PDF]
Many science and engineering applications use high-resolution unstructured hexahedral meshes to model solid 3D shapes for finite element simulations. These simulations frequently dump the mesh and associated fields to disk for subsequent analysis, which involves the transfer of huge volumes of data.
Peter Lindstrom 0001, Martin Isenburg
openaire +1 more source
Learning-Based Lossless Compression of 3D Point Cloud Geometry [PDF]
This paper presents a learning-based, lossless compression method for static point cloud geometry, based on context-adaptive arithmetic coding. Unlike most existing methods working in the octree domain, our encoder operates in a hybrid mode, mixing ...
D. Nguyen +3 more
semanticscholar +1 more source
Data Streams from the Low Frequency Instrument On-Board the Planck Satellite: Statistical Analysis and Compression Efficiency [PDF]
The expected data rate produced by the Low Frequency Instrument (LFI) planned to fly on the ESA Planck mission in 2007, is over a factor 8 larger than the bandwidth allowed by the spacecraft transmission system to download the LFI data.
Burigana, C. +3 more
core +2 more sources

