Interval-valued fuzzy sets for color image super-resolution

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Abstract

In this work we associate an Interval-Valued Fuzzy Set with an image, so that the membership of ecah pixel represents the intensities of itself and its neighbourhood. Based on this set we propose a new simple super-resolution algorithm for color images. We show some experimental results and study how the δ parameter has influence on the results obtained by the algorithm. © 2011 Springer-Verlag.

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APA

Jurio, A., Sanz, J. A., Paternain, D., Fernandez, J., & Bustince, H. (2011). Interval-valued fuzzy sets for color image super-resolution. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7023 LNAI, pp. 373–382). https://doi.org/10.1007/978-3-642-25274-7_38

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