Superresolution Reconstruction Through Object Modeling And Parameter Estimation

E. Mark Haacke, Zhi Pei Liang, Steven H. Izen

Research output: Contribution to journalArticlepeer-review


Fourier transform reconstruction with limited data is often encountered in tomographic imaging problems. Conventional techniques, such as FFT-based methods, the spatial-support-limited extrapolation method, and the maximum entropy method, have not been optimal in terms of both Gibbs ringing reduction and resolution enhancement. In this correspondence, a new method based on object modeling and parameter estimation is proposed to achieve superresolution reconstruction.

Original languageEnglish (US)
Pages (from-to)592-595
Number of pages4
JournalIEEE Transactions on Acoustics, Speech, and Signal Processing
Issue number4
StatePublished - Apr 1989
Externally publishedYes

ASJC Scopus subject areas

  • Signal Processing


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