Patent ID: 7149262

Claim:
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, and adding 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.