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Performance Improvement of Set Partitioning Embedded Block Algorithm for Still Image Compression

  • Shu-Mei Guo
  • Yun-Wei Lee
  • Chih-Yuan Hsu
  • Shy-Jen Guo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8482)

Abstract

The set partitioning embedded block (SPECK) algorithm is a fast and efficient technique for still image compression. In this paper, we propose a novel wavelet-based coding scheme, called prepartition SPECK (PSPECK), on the extension of SPECK. In order to improve the peak signal-to-noise ratio (PSNR) performance, we predict the significance of each set in the list of insignificant sets (LIS) by exploiting inter-subband correlation for reducing the bit budget. Furthermore, the proposed method can be combined with other quadtree-based coding techniques. Experimental results show that the proposed method outperforms SPECK, especially at high bit rates.

Keywords

Discrete wavelet transform Image compression SPECK 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Shu-Mei Guo
    • 1
  • Yun-Wei Lee
    • 1
  • Chih-Yuan Hsu
    • 1
  • Shy-Jen Guo
    • 2
  1. 1.Department of Computer Science and Information EngineeringNational Cheng Kung UniversityTainanTaiwan, R.O.C.
  2. 2.Department of International TradeNational Taichung University of Science and TechnologyTaichungTaiwan, R.O.C.

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