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

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

    Research output: Contribution to journalArticleScientificpeer-review

    1 Citation (Scopus)


    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.

    Original languageEnglish
    Pages (from-to)225-241
    Number of pages17
    JournalTelecommunications and Radio Engineering
    Issue number3
    Publication statusPublished - 2018
    Publication typeA1 Journal article-refereed


    • Image coding
    • Lossy compression
    • Noisy image
    • Remote sensing

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering


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