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. Hypercomplex polar Fourier analysis is reversible that means it can reconstruct image. Its coefficient has rotation invariance property that can be used for feature extraction. 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 based on symmetric properties and mathematical proper ies of trigonometric functions. Proposed fast hy percomplex polar Fourier analysis computes symmetric points simultane ously, which significantly reduce the computation time.
|ジャーナル||IEICE Transactions on Information and Systems|
|出版ステータス||Published - 2012 4月|
ASJC Scopus subject areas
- コンピュータ ビジョンおよびパターン認識