BIB-VERSION:: CS-TR-v2.0
ID:: ncstrl.dartmouthcs//TR96-301
ENTRY:: November 20, 1996
ORGANIZATION:: Dartmouth College, Computer Science
TITLE:: High Quality Alias Free Image Rotation
TYPE:: Technical Report (paper)
REVISION:: 1
AUTHOR:: Owen, Charles B.
AUTHOR:: Makedon, Fillia
DATE:: November, 1996
RETRIEVAL:: For a paper copy, email <reports@cs.dartmouth.edu>
RETRIEVAL:: For a paper copy, write to
       Technical Report Librarian
       Department of Computer Science
       Dartmouth College
       6211 Sudikoff Laboratory
       Hanover, NH 03755-3510
       USA
RETRIEVAL:: Compressed Postscript at http://www.cs.dartmouth.edu/reports/TR96-301.ps.Z
RETRIEVAL:: PDF at http://www.cs.dartmouth.edu/reports/TR96-301.pdf
ABSTRACT:: 
This paper presents new algorithms for the rotation of images.  The
primary design criteria for these algorithms is very high quality.
Common methods for image rotation, including convolutional and
separable approaches, are examined and shown to exhibit significant
high frequency aliasing problems.  A new resampling filter design
methodology is presented which minimizes the problem for conventional
convolution-based image rotation.  The paper also presents a new
separable image rotation algorithm which exhibits improved performance
in term of reduction in artifacts and an efficient $O(N^{2} log N)$
running time.
NOTE::
Appears in Proceedings of 30th Asilomar Conference on Signals, Systems
and Computers, Pacific Grove, CA, November 2-6, 1996.
END:: ncstrl.dartmouthcs//TR96-301