Accurate image rotation using Hermite expansions

  • Authors:

  • Wooram Park;Gregory Leibon;Daniel N. Rockmore;Gregory S. Chirikjian

  • Affiliations:

  • Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD;Department of Mathematics, Dartmouth College, Hanover, NH;Department of Mathematics, Dartmouth College, Hanover, NH;Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 2009

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Abstract

In this paper, we propose an approach for the accurate rotation of a digital image using Hermite expansions. This exploits the fact that if a 2-D continuous bandlimited Hermite expansion is rotated, the resulting function can be expressed as a Hermite expansion with the same bandlimit. Furthermore, the Hermite coefficients of the initial 2-D expansion and the rotated expansion are mapped through an invertible linear relationship. Two efficient methods to compute the mapping between Hermite coefficients during rotation are proposed. We also propose a method for connecting the Hermite expansion and a discrete image. Using this method, we can obtain the Hermite expansion from a discrete image and vice versa. Combining these techniques, we propose new methods for the rotation of discrete images. We assess the accuracy of our methods and compare them with an existing FFT-based method implementing three shears. We find that the method proposed here consistently has better accuracy than the FFT-based method.