B-LUT: Fast and low memory B-spline image interpolation

Comput Methods Programs Biomed. 2010 Aug;99(2):172-8. doi: 10.1016/j.cmpb.2009.11.013. Epub 2010 Jan 19.

Abstract

We propose a fast alternative to B-splines in image processing based on an approximate calculation using precomputed B-spline weights. During B-spline indirect transformation, these weights are efficiently retrieved in a nearest-neighbor fashion from a look-up table, greatly reducing overall computation time. Depending on the application, calculating a B-spline using a look-up table, called B-LUT, will result in an exact or approximate B-spline calculation. In case of the latter the obtained accuracy can be controlled by the user. The method is applicable to a wide range of B-spline applications and has very low memory requirements compared to other proposed accelerations. The performance of the proposed B-LUTs was compared to conventional B-splines as implemented in the popular ITK toolkit for the general case of image intensity interpolation. Experiments illustrated that highly accurate B-spline approximation can be obtained all while computation time is reduced with a factor of 5-6. The B-LUT source code, compatible with the ITK toolkit, has been made freely available to the community.

MeSH terms

  • Algorithms
  • Computer Graphics
  • Image Interpretation, Computer-Assisted / methods*
  • Image Processing, Computer-Assisted / methods
  • Imaging, Three-Dimensional
  • Signal Processing, Computer-Assisted
  • Tomography, X-Ray Computed / methods