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Multi-level fuzzy transforms image compression

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Abstract

We present a new multi-level image compression method based on fuzzy transforms in which the image is decomposed in levels and afterwards each level-image is compressed as well. Unlike the traditional fuzzy transform image compression method, the proposed algorithm allows to check the quality of the reconstructed image at every level. Unlike the classical image compression F-transform algorithm, our method allows to control the quality of the reconstructed image, to be used for applications in which a high quality of the decoded image is necessary. We compare our method with the single level fuzzy transform, DCT, DWT, JPEG, JPEG2K algorithms in terms of quality of the reconstructed image and CPU coding/decoding time. The results show that the CPU time obtained in our method are comparable (resp., better) with the ones obtained via DCT, JPEG, JPEG2K (resp., DWT) algorithm.

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Acknowledgements

This work was written under the auspices of INDAM-GCNS (Italy).

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Authors and Affiliations

  1. Dipartimento di Architettura, Università degli Studi di Napoli Federico II, Via Toledo 402, 80134, Napoli, Italy

    Ferdinando Di Martino & Salvatore Sessa

  2. Centro Interdipartimentale di ricerca A. Calza Bini, Università degli Studi di Napoli Federico II, Via Toledo 402, 80134, Napoli, Italy

    Ferdinando Di Martino & Salvatore Sessa

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  1. Ferdinando Di Martino
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  2. Salvatore Sessa
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Correspondence to Ferdinando Di Martino.

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Di Martino, F., Sessa, S. Multi-level fuzzy transforms image compression. J Ambient Intell Human Comput 10, 2745–2756 (2019). https://doi.org/10.1007/s12652-018-0971-4

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  • DOI: https://doi.org/10.1007/s12652-018-0971-4

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