Results 31 to 40 of about 35,976 (328)
A Novel Rate Control Algorithm for Onboard Predictive Coding of Multispectral and Hyperspectral Images [PDF]
, 2014 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
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A note on precision-preserving compression of scientific data [PDF]
Geoscientific Model Development, 2021 Lossy compression of scientific data arrays is a powerful tool to save network bandwidth and storage space. Properly applied lossy compression can reduce the size of a dataset by orders of magnitude while keeping all essential information, whereas a ...
R. Kouznetsov, R. Kouznetsov
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Lossy Compression with Gaussian Diffusion
CoRR, 2022 We consider a novel lossy compression approach based on unconditional diffusion generative models, which we call DiffC. Unlike modern compression schemes which rely on transform coding and quantization to restrict the transmitted information, DiffC relies on the efficient communication of pixels corrupted by Gaussian noise.
Lucas Theis +3 more
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A survey on GAN acceleration using memory compression techniques
Journal of Engineering and Applied Science, 2021 Since its invention, generative adversarial networks (GANs) have shown outstanding results in many applications. GANs are powerful, yet resource-hungry deep learning models. The main difference between GANs and ordinary deep learning models is the nature
Dina Tantawy, Mohamed Zahran, Amr Wassal
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A New Perspective on Improving the Lossless Compression Efficiency for Initially Acquired Images
IEEE Access, 2019 A new lossless compression scheme of compressing the initially-acquired continuous-intensity images with a lossy compression algorithm to obtain higher compression efficiency is proposed. Even if a lossy algorithm is employed, for decoded original images,
Jianyu Lin
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Lossy Compression for Lossless Prediction
CoRR, 2021 Most data is automatically collected and only ever "seen" by algorithms. Yet, data compressors preserve perceptual fidelity rather than just the information needed by algorithms performing downstream tasks. In this paper, we characterize the bit-rate required to ensure high performance on all predictive tasks that are invariant under a set of ...
Yann Dubois +3 more
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Development of compression algorithms for hyperspectral aerospace images based on discrete orthogonal transformations [PDF]
E3S Web of Conferences, 2021 The paper describes the development of compression algorithms for hyperspectral aerospace images based on discrete orthogonal transformations for the purpose of subsequent compression in Earth remote sensing systems.
Sarinova Assiya
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Launching Vehicle Acoustic Data Compression Study Using Lossy Audio Formats [PDF]
Journal of Aerospace Technology and Management, 2020 The field of data compression has evolved over the last decades. In this way, several techniques to reduce the amount of acquired data from the sensor required to be transmitted have been developed.
Guilherme Coelho da Silva Stanisce Correa +2 more
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The effect of lossy compression of numerical weather prediction data on data analysis: a case study using enstools-compression 2023.11 [PDF]
Geoscientific Model DevelopmentThe increasing amount of data in meteorological science requires effective data-reduction methods. Our study demonstrates the use of advanced scientific lossy compression techniques to significantly reduce the size of these large datasets, achieving ...
O. Tintó Prims +6 more
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Lossy Image Compression with Compressive Autoencoders
CoRR, 2017 We propose a new approach to the problem of optimizing autoencoders for lossy image compression. New media formats, changing hardware technology, as well as diverse requirements and content types create a need for compression algo- rithms which are more flexible than existing codecs.
Huszar, Ferenc +3 more
openaire +4 more sources