Options
Adaptive block-size transform coding for image compression
Auteur(s)
Bracamonte, Javier
Ansorge, Michael
Pellandini, Fausto
Date de parution
1997
In
Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP97), Institute of Electrical and Electronics Engineers (IEEE), 1997/4//2721-2724
Résumé
In this paper we report the results of an adaptive block-size transform coding scheme that is bascd on the sequential JPEG algorithm. This minimum information-overhead method implies a transform coding technique with two différent block sizes: <i>N</i> x <i>N</i> and 2<i>N</i> x 2<i>N</i> pixels. The input image is divided into blocks of 2<i>N</i> x 2<i>N</i> pixels and each of these bocks is classified according to its image activity. Depending on this classification, either four N-point or a sngle 2<i>N</i>-point 2-D DCT is applied on the block. The purpose of the algorithm is te take advantage of large uniform régions that can be coded as a single large unit instead of four small units — as it is made by a fixed block-size scheme. For the same reconstruction quality, the results of the adaptive algorithm show a significant improvement of the compression ratio with respect to the non-adaptive scheme.
Identifiants
Type de publication
journal article
Dossier(s) à télécharger
