An edge-based splitting criterion for adaptive transform coding

  • Authors:

  • Francesco G. B. De Natale;Giuseppe S. Desoli;Stefano Fioravanti;Daniele D. Giusto

  • Affiliations:

  • Department of Biophysical and Electronic Engineering, University of Genoa, Genoa, Italy;Department of Biophysical and Electronic Engineering, University of Genoa, Genoa, Italy;Department of Biophysical and Electronic Engineering, University of Genoa, Genoa, Italy;Department of Biophysical and Electronic Engineering, University of Genoa, Genoa, Italy

  • Venue:
  • ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: image and multidimensional signal processing - Volume V
  • Year:
  • 1993

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Abstract

In this paper, a new splitting strategy for variable blocksize image coding based on edge information is presented, which allows one to reduce the number of blocks to be encoded, while maintaining an in-depth split in edge areas. The proposed approach has been applied to a standard transform coding algorithm, and results have been compared with those obtained by a classical splitting structure. Tests showed a notable increase in the compression factor, under the same SNR conditions. Reconstructed images are affected by the blocking effect to a smaller extent, as the problem of generating a large number of small blocks in the uniform areas surrounding an edge is overcome by the new split topology.