Image and volume data rotation with 1- and 3-pass algorithms | Zendy

Laura Tosoni | Zendy; Salvatore Lanzavecchia | Zendy; Pier Luigi Bellon | Zendy

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Image and volume data rotation with 1- and 3-pass algorithms

Author(s) -

Laura Tosoni,

Salvatore Lanzavecchia,

Pier Luigi Bellon

Publication year - 1996

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/12.6.549

Subject(s) - rotation (mathematics) , algorithm , fourier transform , fourier domain , frequency domain , interpolation (computer graphics) , computer science , volume (thermodynamics) , domain (mathematical analysis) , image (mathematics) , fast fourier transform , phase correlation , fourier analysis , mathematics , artificial intelligence , computer vision , short time fourier transform , mathematical analysis , physics , quantum mechanics

Three different implementations of the 3-pass algorithm of image and volume data rotation are illustrated and discussed. The three protocols use interpolation in real domain, with a peculiar implementation of the Shannon reconstruction, or phase shifts in Fourier domain. Accuracy and speed of the three methods are compared with corresponding values obtained with a 1-pass method. The results indicate that for low or moderate accuracy, 1-pass is more convenient than 3-pass rotation for both accuracy and speed. Very accurate rotations can be obtained in reasonable time if all steps of 3-pass rotation are performed in the Fourier domain.

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