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A number theoretic transform approach to image rotation in parallel array processors

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2 Author(s)
T. Kriz ; International Business Machines Corporation, Owego, New York ; D. Bachman

This paper describes a spectral method for rotating matrix form digital image data in a cartesian-coordinate organized array processor structure. The major elements of the method include: 1) an initial three step number-theoretic-transform (NTT) procedure to implement appropriate column and row data translations, and 2) a final non-spectral translation step within adjacent pixel groups. Digital array image data may be rotated about a selected pivot point through an arbitrary angle within the range ±45°. A comparison of the spectral method execution time with a non-spectral implementation indicates that the new method can provide a performance improvement factor of up to 5 depending upon the magnitude of the rotation angle and pixel word size.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '80.  (Volume:5 )

Date of Conference:

Apr 1980