Method for image modification

• US 10,043,249 B2
• Filed: 07/01/2014
• Issued: 08/07/2018
• Est. Priority Date: 04/30/2009
• Status: Active Grant

• Current Assignee: Innovation Asset Collective
• Original Assignee: Tandent Vision Science, Inc.
• Inventors: Friedhoff, Richard Mark, Smith, Casey Arthur, Maxwell, Bruce Allen, Alldrin, Neil, Bushell, Steven Joseph, Rodgers, Jr., Timothy King
• Primary Examiner(s): Thomas, Mia M
• Application Number:
  US14/321,141
• Publication Number:
  US 20140314318A1
• Time in Patent Office: 1,498 Days
• CPC Class Codes: G06T 2207/20012 Locally adaptive
• CPC Class Codes: G06T 5/50 using two or more images, e.g. averaging or subtraction
• CPC Class Codes: G06T 5/90 Dynamic range modification of images or parts thereof
• CPC Class Codes: G06T 7/187 involving region growing; involving region merging; involving connected component labelling

Abstract

An automated, computerized method is provided for processing an image. The method includes the steps of providing an image file depicting an image, in a computer memory, performing an image segregation operation on the image file to generate a set of intrinsic images corresponding to the image, modifying a preselected one of the set of intrinsic images according to a set of preselected operations and merging the modified one of the set of intrinsic images relative to the set of intrinsic images to provide a modified output image.

Claims

1. A computer program product, disposed on a non-transitory computer readable media, the product including computer executable process steps operable to control a computer to:

provide an image file depicting an image, in a computer memory, perform an image segregation operation on the image file, according to a spatio-spectral operator, constraint, and solver model, wherein the constraint defines constraining spatio-spectral relationships between spatio-spectral operators, for input to the solver, to generate a set of intrinsic images corresponding to the image, wherein each one of the set of intrinsic images comprises a representation of one of material or illumination, expressed as a separate, multi-band representation for the one of material or illumination, independent of the other of the material or illumination, wherein each band corresponds to a segment of the electro-magnetic spectrum, and modify at least one of the set of intrinsic images, separately, to accommodate separate intrinsic characteristics of material and illumination.