Abstract
Linear prediction has been extensively researched and a significant number of techniques have been proposed to enhance its effectiveness, among them switching linear predictors. In this paper, we propose a general framework for designing a family of adaptive switching linear predictors. In addition, we will utilize the proposed framework to construct a concrete implementation based on set partitions and relational operators.
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© 2005 Springer-Verlag Berlin Heidelberg
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Itani, A., Das, M. (2005). Adaptive Switching Linear Predictor for Lossless Image Compression. In: Bebis, G., Boyle, R., Koracin, D., Parvin, B. (eds) Advances in Visual Computing. ISVC 2005. Lecture Notes in Computer Science, vol 3804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11595755_91
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DOI: https://doi.org/10.1007/11595755_91
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30750-1
Online ISBN: 978-3-540-32284-9
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