Multiresolution tomographic reconstruction using wavelets

A. H. Delaney, Y. Bresler

Research output: Contribution to journalConference articlepeer-review


We show how the separable two-dimensional wavelet representation leads naturally to an efficient multiresolution tomographic reconstruction algorithm. This algorithm is similar to the conventional filtered backprojection algorithm, except that the filters are now angle dependent, and the backprojection gives us the wavelet coefficients of the reconstruction, which are then used to synthesize the reconstruction at various resolution levels. By reconstructing only a small localized region at high resolution, radiation exposure and computation can be significantly reduced, compared to a standard reconstruction.

Original languageEnglish (US)
Article number413687
Pages (from-to)830-834
Number of pages5
JournalProceedings - International Conference on Image Processing, ICIP
StatePublished - 1994
EventThe 1994 1st IEEE International Conference on Image Processing - Austin, TX, USA
Duration: Nov 13 1994Nov 16 1994

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing


Dive into the research topics of 'Multiresolution tomographic reconstruction using wavelets'. Together they form a unique fingerprint.

Cite this