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Fast Hypercomplex Polar Fourier Analysis for Image Processing

  • Zhuo Yang
  • Sei-ichiro Kamata
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7088)

Abstract

Hypercomplex polar Fourier analysis treats a signal as a vector field and generalizes the conventional polar Fourier analysis. It can handle signals represented by hypercomplex numbers such as color images. It is reversible that can reconstruct image. Its coefficient has rotation invariance property that can be used for feature extraction. With these properties, it can be used for image processing applications like image representation and image understanding. However in order to increase the computation speed, fast algorithm is needed especially for image processing applications like realtime systems and limited resource platforms. This paper presents fast hypercomplex polar Fourier analysis that based on symmetric properties and mathematical properties of trigonometric functions. Proposed fast hypercomplex polar Fourier analysis computes symmetric eight points simultaneously that significantly reduce the computation time.

Keywords

fast hypercomplex polar Fourier analysis hypercomplex polar Fourier analysis Fourier analysis 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Zhuo Yang
    • 1
  • Sei-ichiro Kamata
    • 1
  1. 1.Graduate School of Information, Production and SystemsWaseda UniversityJapan

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