A Self-Referencing Level-Set Method for Image Reconstruction from Sparse Fourier Samples

  title={A Self-Referencing Level-Set Method for Image Reconstruction from Sparse Fourier Samples},
  author={YE JONGCHUL},
  • Published 2002
We address an ill-posed inverse problem of image estimation from sparse samples of its Fourier transform. The problem is formulated as joint estimation of the supports of unknown sparse objects in the image, and pixel values on these supports. The domain and the pixel values are alternately estimated using the level-set method and the conjugate gradient method, respectively. Our level-set evolution shows a unique switching behavior, which stabilizes the level-set evolution. Furthermore, the… CONTINUE READING
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