Design and Implementation of a Generic 2-D Biorthogonal Discrete Wavelet Transform on an FPGA

  • Authors:
  • A. Benkrid;D. Crookes;K. Benkrid

  • Affiliations:
  • The Queenýs University of Belfast;The Queenýs University of Belfast;The Queenýs University of Belfast

  • Venue:
  • FCCM '01 Proceedings of the the 9th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
  • Year:
  • 2001

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Abstract

This paper presents an FPGA architecture for the separable 2-D Biorthogonal Discrete Wavelet Transform (DWT) decomposition. The architecture is based on the Pyramid Algorithm Analysis, which handles computation along the border efficiently by using the method of symmetric extension. For a J stage wavelet transform of NxN images, our architecture has a period of N虏 cycles per NxN image, and requires only the minimum intermediate storage size necessary. The architecture is highly scalable for different filter lengths and different octave levels. The design of a specific 2-D Biorthogonal 9&7 Wavelet Transform and its implementation on the Xilinx Virtex-E is taken as a case study.