An improved SPIHT algorithm for lossless image coding

  • Authors:
  • Tahar Brahimi;Ali Melit;Fouad Khelifi

  • Affiliations:
  • Department of Electronics Engineering, Faculty of Engineering Science, University of Jijel, B.P. 98 Ouled Aissa, Jijel 18000, Algeria;Department of Electronics Engineering, Faculty of Engineering Science, University of Jijel, B.P. 98 Ouled Aissa, Jijel 18000, Algeria;Queen's University Belfast, Northern Ireland, UK

  • Venue:
  • Digital Signal Processing
  • Year:
  • 2009

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Abstract

In this paper, we propose a new wavelet-based lossless image coder that is based on a state-of-the-art algorithm, namely SPIHT (set partitioning in hierarchical trees). An algorithmic modification is introduced in order to increase its efficiency. This consists of adding a new test on direct descendants in the sets of type A to process the parent coefficients that are significant due to their nondirect descendants. Also, new sets of type C are defined to perform a separate sorting of the sets that have insignificant children. The idea behind the second proposition is to remove all tests over the entries (A, B and C) since the number of significant sets is much higher than that of insignificant sets. A number of experiments, carried out on various test images, demonstrates significant improvement over the conventional SPIHT for both greyscale and colour images.