On Lossy Compression of Directed Graphs [PDF]
IEEE Transactions on Information Theory, 2022 Accepted for publication in IEEE Transactions on Information ...
Ronit Bustin, Ofer Shayevitz
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Deep Lossy Plus Residual Coding for Lossless and Near-Lossless Image Compression [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 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.
Yuanchao Bai +5 more
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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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cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data [PDF]
International Conference on Parallel Architectures and Compilation Techniques, 2020 Error-bounded lossy compression is a state-of-the-art data reduction technique for HPC applications because it not only significantly reduces storage overhead but also can retain high fidelity for postanalysis. Because supercomputers and HPC applications
Jiannan Tian +10 more
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Lossy Image Compression with Quantized Hierarchical VAEs [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2022 Recent work has shown a strong theoretical connection between variational autoencoders (VAEs) and the rate distortion theory. Motivated by this, we consider the problem of lossy image compression from the perspective of generative modeling. Starting from
Zhihao Duan +3 more
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Preliminary analysis of noisy image lossy compression by discrete atomic transform-based coder
Авіаційно-космічна техніка та технологія, 2023 Remote sensing provides data (images) important for many modern applications. Image number and average size tend to increase. This makes their transfer via communication lines, storage, and dissemination problematic.
Viktor Makarichev +2 more
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Topologically Controlled Lossy Compression [PDF]
2018 IEEE Pacific Visualization Symposium (PacificVis), 2018 This paper presents a new algorithm for the lossy compression of scalar data defined on 2D or 3D regular grids, with topological control. Certain techniques allow users to control the pointwise error induced by the compression. However, in many scenarios it is desirable to control in a similar way the preservation of higher-level notions, such as ...
Soler, Maxime +3 more
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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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IWCD-PROPOSED IMAGE COMPRESSION METHOD BASED ON INTEGER WAVELET AND DCT [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2008 This paper describes a new lossy image compression decompression algorithm. In lossy compression techniques there are some loss of information, and image cannot be reconstructed exactly.This algorithm will be referred to as (IWDC), which stands for ...
Abdullah.M.Awad Al-Fahdawi
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