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Method and apparatus for enhancing data resolution

  • US 7,149,262 B1
  • Filed: 07/06/2001
  • Issued: 12/12/2006
  • Est. Priority Date: 07/06/2000
  • Status: Expired due to Fees
First Claim
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1. A method for learning a model for use in data resolution enhancement, comprising:

  • an image processing step of processing a plurality of high quality images, the image processing step comprising;

    applying a simulated detector response function to each of the plurality of high quality images to thereby generate a set of training data,applying a locally inhomogeneous mosaic pattern function to the training data to thereby generate a set of reduced quality data,calculating a weighted normal matrix of the reduced quality data,adding the weighted normal matrix to a matrix sum,calculating a regression vector of the reduced quality data, andadding the regression vector to a vector sum;

    using the matrix sum to determine an accumulated normal matrix;

    using the vector sum to determine an accumulated regression vector; and

    solving a least squares equation to determine a coefficient matrix of a model for generating enhanced resolution data, the least squares equation comprising a first side and a second side, the first side comprising a product of the accumulated normal matrix and the coefficient matrix, the second side comprising the accumulated regression vector, and the coefficient matrix comprising coefficients of a polynomial function.

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