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作 者:Ferdinando Di Martino Salvatore Sessa Irina Perfilieva
机构地区:[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
出 处:《Journal of Signal and Information Processing》2017年第3期178-194,共17页信号与信息处理(英文)
摘 要: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.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.
关 键 词:FUZZY TRANSFORM GENERALIZED FUZZY PARTITION Basic Function HILBERT Space Image Compression PSNR
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