Published 12 issues per year
ISSN Print: 0040-2508
ISSN Online: 1943-6009
Indexed in
LOSSY AND VISUALLY LOSSLESS COMPRESSION OF SINGLE-LOOK SAR IMAGES
ABSTRACT
Various strategies of compression of single-look SAR images corrupted by spatially correlated speckle noise are considered in this paper. Several quantitative criteria including visual quality metrics are taken into account to provide thorough investigation of compression characteristics. Typical practical restrictions are taken into account depending on a considered strategy and corresponding priority of requirements. It is demonstrated that for visually lossless compression it is possible to ensure compression ratio (CR) about 3...8 whilst for lossy compression CR values can reach tens under condition of data compression in the neighborhood of optimal operation point (OOP).
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Makarichev Viktor, Lukin Vladimir, Brysina Iryna, Application of Discrete Atomic Compression to Near Lossless Image Compression, 2020 IEEE Ukrainian Microwave Week (UkrMW), 2020. Crossref
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Ponomarenko Mykola, Bahnemiri Sheyda Ghanbaralizadeh, Egiazarian Karen, Deep Convolutional Network for Spatially Correlated RAYLEIGH Noise Suppression on TerraSAR-X Images, 2020 IEEE Ukrainian Microwave Week (UkrMW), 2020. Crossref