Spatial Complexity Reduction in Remote Sensing Image Compression by Atomic Functions

Author:

Makarichev Viktor O.1,Lukin Vladimir V.2ORCID,Brysina Iryna V.3,Vozel Benoit4ORCID

Affiliation:

1. Department of Computer Systems, Networks and Cybersecurity, National Aerospace University “KhAI”, Kharkiv, Ukraine

2. Department of Information-Communication Technologies, National Aerospace University “KhAI”, Kharkiv, Ukraine

3. Department of Higher Mathematics and System Analysis, National Aerospace University “KhAILossless Compression”, Kharkiv, Ukraine

4. Institut d’Electronique et des Technologies du numéRique, IETR UMR CNRS 6164, University of Rennes 1 - Enssat, Rennes, France

Funder

National Research Foundation of Ukraine from the state budget

French Ministries of Europe and Foreign Affairs (MEAE) and Higher Education, Research and Innovation (MESRI) through the PHC Dnipro 2021

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On the Impact of Discrete Atomic Compression on Image Classification by Convolutional Neural Networks;Computation;2024-09-01

2. Complexity Reduction in DAT-Based Image Processing;Lecture Notes in Networks and Systems;2024

3. Remote Sensing Image Compression Based on the Multiple Prior Information;Remote Sensing;2023-04-21

4. Comparison of DAT with DCT in a Viewpoint of Current Image Processing and Analysis Trends;2022 12th International Conference on Dependable Systems, Services and Technologies (DESSERT);2022-12-09

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