Pre-requisites for smart lossy compression of noisy remote sensing images

M. Alhihi, A. Zemliachenko, S. Abramov, B. Vozel, K. Egiazarian, V. Lukin

    Tutkimustuotos: ArtikkeliScientificvertaisarvioitu

    1 Sitaatiot (Scopus)

    Abstrakti

    Remote sensing images are usually subject to compression for their further transmission, storage and dissemination. Because of lossy nature of compression, resulting images appear distorted. Degradations of image quality due to compression depend on noisy input image, a type and intensity of noise, and used image coder. To control image degradations, for a given coder, one should predict compression performance to be able to properly choose coder parameter(s). In this paper, we present pre-requisites for such a controlled lossy compression of noisy remote sensing images. The main attention is paid to image coders which are based on discrete cosine transform, due to relatively simple adaptation of its main parameter, quantization step, for controlling the effect of compression.

    AlkuperäiskieliEnglanti
    Sivut225-241
    Sivumäärä17
    JulkaisuTelecommunications and Radio Engineering
    Vuosikerta77
    Numero3
    DOI - pysyväislinkit
    TilaJulkaistu - 2018
    OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

    Julkaisufoorumi-taso

    • Jufo-taso 1

    !!ASJC Scopus subject areas

    • Electrical and Electronic Engineering

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