Author(s)

Ferdinando Di Martino¹, Salvatore Sessa², Irina Perfilieva³

¹Università degli Studi di Napoli Federico II, Dipartimento di Architettura, Napoli, Italy.
²Università degli Studi di Napoli Federico II, Centro Interdipartimentale di Ricerca Calza Bini, Napoli, Italy.
³University of Ostrava, Institute for Research and Applications of Fuzzy Modeling, Ostrava, Czech Republic.

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.

Fuzzy Transform, Generalized Fuzzy Partition, Basic Function, Hilbert Space, Image Compression, PSNR

Martino, F. , Sessa, S. and Perfilieva, I. (2017) First Order Fuzzy Transform for Images Compression. Journal of Signal and Information Processing, 8, 178-194. doi: 10.4236/jsip.2017.83012.