Patent 10217192 was granted and assigned to Descartes Labs on February, 2019 by the United States Patent and Trademark Office.
Various approaches to image enhancement are disclosed. In one approach, a boundary map and an image are received. The boundary map is used to determine that brightness values for a set of pixels included in the image should be regularized. An output image is generated by storing, at both a first and second pixel position in the output image, a set of regularized values. In another approach, an image to be enhanced and an edge map are received. Edge-masked derivative matrices are constructed and used to iteratively solve a series of linear equations, wherein solutions to the linear equations minimize an increasingly accurate quadratic approximation of a penalty function that measures a total amount of variation in a function, and a derivation of the function from the image. A vector result of the iterative solution is transformed into a raster image.