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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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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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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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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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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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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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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Lossy compression of permutations [PDF]
2014 IEEE International Symposium on Information Theory, 2014 We investigate the lossy compression of permutations by analyzing the trade-off between the size of a source code and the distortion with respect to Kendall tau distance, Spearman’s footrule, Chebyshev distance and `1 distance of inversion vectors.
Wang, Da +2 more
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