Fuzzy transforms for compression and decompression of color videos

  • Authors:

  • Ferdinando Di Martino;Vincenzo Loia;Salvatore Sessa

  • Affiliations:

  • Universití degli Studi di Salerno, Dipartimento di Matematica e Informatica, Via Ponte don Melillo, 84081 Fisciano, Italy and Universití degli Studi di Napoli Federico II, Dipartimento d ...;Universití degli Studi di Salerno, Dipartimento di Matematica e Informatica, Via Ponte don Melillo, 84081 Fisciano, Italy;Universití degli Studi di Napoli Federico II, Dipartimento di Costruzioni e Metodi Matematici in Architettura, Via Monteoliveto 3, 80134 Napoli, Italy

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 2010

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Abstract

We use fuzzy transforms for coding/decoding color frames of videos and we compare the results with the same frames reconstructed with the standard JPEG method. We classify all the frames in intra-frames and predictive frames by adopting a similarity measure based on the Lukasiewicz t-norm and a pre-processing phase which determines the best similarity threshold value. The compression is made on particular frames, called @D-frames, obtained from a suitable difference defined on the values of the pixels of an intra-frame and a predictive frame. Under high compression rates, we see that the Peak Signal to Noise Ratio of the frames obtained with the fuzzy transforms is averagely close to the PSNR obtained with the JPEG method. We use the videos at URL sampl.eng.ohiostate.edu/~sampl/database.htm.