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First Order Fuzzy Transform for Images Compression
Università degli Studi di Napoli Federico II, Dipartimento di Architettura, Napoli, Italy
Università degli Studi di Napoli Federico II, Centro Interdipartimentale di Ricerca Calza Bini, Napoli, Italy
University of Ostrava, Institute for Research and Applications of Fuzzy Modeling, Ostrava, Czech Republic
- 1 Università degli Studi di Napoli Federico II, Dipartimento di Architettura, Napoli, Italy
- 2 Università degli Studi di Napoli Federico II, Centro Interdipartimentale di Ricerca Calza Bini, Napoli, Italy
- 3 University of Ostrava, Institute for Research and Applications of Fuzzy Modeling, Ostrava, Czech Republic
Journal of Signal and Information Processing·Volume 08 (2017)·Pages 178–194·Published 18 July 2017·DOI10.4236/jsip.2017.83012
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Abstract
In this paper, we present a new image compression method based on the direct and inverse F1-transform, a generalization of the concept of fuzzy transform. Under weak compression rates, this method improves the quality of the images with respect to the classical method based on the fuzzy transform.
KeywordsFuzzy TransformGeneralized Fuzzy PartitionBasic FunctionHilbert SpaceImage CompressionPSNR
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