Classification of BPG-Based Lossy Compressed Noisy Images
Galina Proskura,
Victoria Naumenko,
Volodymyr Lukin
Abstract:Acquired remote sensing images can be noisy. This fact has to be taken into account in their lossy compression and classification. In particular, a specific noise filtering effect is usually observed due to lossy compression and this can be positive for classification. Classification can be also influenced by methodology of classifier learning. In this paper, we consider peculiarities of lossy compression of three-channel noisy images by better portable graphics (BPG) encoder and their further classification. … Show more
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