@TechReport{Dartmouth:TR96-301,
  author = {Charles B. Owen and Fillia Makedon},
  title = {{High Quality Alias Free Image Rotation}},
  institution = {Dartmouth College, Computer Science},
  address = {Hanover, NH},
  number = {PCS-TR96-301},
  year = {1996},
  month = {November,},
  URL = {http://www.cs.dartmouth.edu/reports/TR96-301.ps.Z},
  comment = {
    Appears in Proceedings of 30th Asilomar Conference on Signals, Systems
    and Computers, Pacific Grove, CA, November 2-6, 1996.
  },
  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.
  }
}