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Using an MM-principle to enforce a sparsity constraint on fast image data estimation from large image data sets

  • US 9,864,046 B2
  • Filed: 06/16/2014
  • Issued: 01/09/2018
  • Est. Priority Date: 06/15/2013
  • Status: Active Grant
First Claim
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1. A method of creating an image from received data by estimating unknown reflection coefficients for individual voxels in a scene of interest (SOI), the method comprising:

  • receiving the data;

    processing the data with a processing device by iteratively deriving an estimated image value for individual voxels in the image through application of a majorize-minimize technique to minimize a maximum a posteriori (MAP) objective function applied to the data, wherein the MAP objective function includes;

    a data component including at least a portion of the data, anda prior probability density function for the unknown reflection coefficients configured to apply a restriction that a majority of the reflection coefficients are equal to zero or substantially equal to zero;

    displaying the image using the estimated image value of individual voxels of the scene of interest.

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