Hybrid template matching for imaging applications

摘要

Training sets consisting of pairs of input images and desired images can be used to produce maps intended for future use in transforming input images into final images. The maps, however, often have improper elements based on incomplete or noisy data. The noisy data and incomplete can be identified via statistics derived from the training set. The map can output a code value instead of a substitution for an improper element. An additional stage of image transformation can identify improper pixels having the code value and replace the code value with an analytic value that is more appropriate.