Efficient cache-based spatial combinative lifting algorithm for wavelet transform

  • Authors:
  • Chun-Kuang Hu;Wen-Ming Yan;Kuo-Liang Chung

  • Affiliations:
  • Department of Computer Science and Information Engineering, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 10764, Taiwan;Department of Computer Science and Information Engineering, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 10764, Taiwan;Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, No. 43, Section 4, Keelung Road, Taipei 10672, Taiwan

  • Venue:
  • Signal Processing - Special section: New trends and findings in antenna array processing for radar
  • Year:
  • 2004

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Abstract

Recently, a fast spatial combinative lifting algorithm (SCLA) for performing the wavelet transform (WT) was presented by Meng and Wang, and the SCLA speeds up the well-known lifting scheme presented by Daubechies and Sweldens. Employing the concept in the block-based WT by Bao and Kuo, this letter presents an efficient cache-based SCLA (CSCLA) for performing the WT. Theoretically, the number of total arithmetical operations required in the proposed CSCLA is equal to that in the SCLA. Experimental results confirm the computational advantage of our proposed CSCLA when compared to some other previous results. In addition, the VTune Performance Analyzer is used to evaluate the cache performance among the concerning algorithms.