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Conference Papers Year : 2018

Preliminary filtering and lossy compression of noisy remote sensing images

Abstract

Compression is a typical stage in processing of remote sensing images. Here we consider lossy compression of images that contain noise. Then, there are, at least, two approaches - to compress images without pre-filtering and with pre-filtering. The second approach is shown to have some advantages but only under certain conditions. Several metrics characterizing quality of compressed images are used. Main conclusions are in good agreement in cases of using different metrics. Recommendations concerning parameter selection for lossy compression with pre-filtering are given.
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Dates and versions

hal-02018908 , version 1 (14-02-2019)

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Alexander N. Zemliachenko, Sergey K. Abramov, Vladimir V. Lukin, Benoit Vozel, Kacem Chehdi. Preliminary filtering and lossy compression of noisy remote sensing images. Conference on Image and Signal Processing for Remote Sensing XXIV, Sep 2018, Berlin, Germany. ⟨10.1117/12.2325102⟩. ⟨hal-02018908⟩
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