Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, assembling a feature vector for the image file, the feature vector containing information regarding a likelihood that a selected pair of regions of the image file are of a same intrinsic characteristic, for example, a same texture, providing a classifier derived from a computer learning technique, computing a classification score for the selected pair of regions of the image file, as a function of the feature vector and the classifier and classifying the regions as being of the same intrinsic characteristic, as a function of the classification score.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, determining intrinsic component information as a function of spatio-spectral information for the image, and calculating analytical information, as a function of the intrinsic component information.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, generating an intrinsic image corresponding to the image and modifying the intrinsic image by performing an edge-preserving blur of illumination.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, generating a material intrinsic image corresponding to the image and modifying the material intrinsic image by identifying artifacts by comparing derivatives for the material intrinsic image with derivatives for the image, modifying the derivatives for the material intrinsic image to conform the derivatives for the material intrinsic to the derivatives of the image and integrating the modified derivatives for the material intrinsic image to calculate a modified material intrinsic image.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, generating an intrinsic image corresponding to the image and modifying the intrinsic image as a function of a bi-illuminant, dichromatic reflection model.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, generating an approximate intrinsic estimate representation of the image as an intrinsic image corresponding to the image, and compressing the intrinsic image to provide a compressed intrinsic image.

Abstract: An automated, computerized method is provided for processing an image. The method comprises the steps of providing an image file depicting an image, in a computer memory, generating a material intrinsic image corresponding to the image and modifying the material intrinsic image by identifying artifacts by comparing derivatives for the material intrinsic image with derivatives for the image, modifying the derivatives for the material intrinsic image to conform the derivatives for the material intrinsic to the derivatives of the image and integrating the modified derivatives for the material intrinsic image to calculate a modified material intrinsic image.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, determining log chromaticity representations for the image, clustering the log chromaticity representations as a function of an index, to provide clusters of similar log chromaticity representations and identifying regions of uniform reflectance in the image as a function of the clusters of similar log chromaticity representations.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, generating an intrinsic image corresponding to the image, and compressing the intrinsic image to provide a compressed intrinsic image.

Abstract: A new high refractive index, oxygen permeable contact lens material and method for making the same. The material comprises an alkyl acrylate, a fluoro acrylate, a silicone acrylate, a polymerizable vinyl monomer having a substituted aromatic ring and/or heterocyclic ring structure, a multifunctional acrylate, and a polymerizable vinyl monomer having a heterocyclic ring structure.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, providing a multi-class classifier trained to identify edges in an image relative to computer actions to be taken in respect to the respective edges, determined as a function of illumination effects in the image and utilizing the multi-class classifier to classify edges in the image, for identification of computer actions to be taken in respect to the edges in the image.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises 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.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, identifying a dominant region of single reflectance in the image and segregating the image into intrinsic images as a function of the dominant region of single reflectance.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, assembling a feature vector for the image file, the feature vector containing information regarding a likelihood that a selected pair of regions of the image file are of a same intrinsic characteristic, providing a classifier derived from a computer learning technique, computing a classification score for the selected pair of regions of the image file, as a function of the feature vector and the classifier and classifying the regions as being of the same intrinsic characteristic, as a function of the classification score.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image in an array of pixels, in a computer memory, performing a tone mapping method on the image, performing a log chromaticity method on the image and calculating a color value for each pixel as a function of information relevant to the tone mapping method and the log chromaticity method.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, providing an object database including a list of objects that appear in the image, and information on material reflectance color values for each object and generating intrinsic images corresponding to the image as a function of the information on material reflectance color values for each object.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing a sequence of image files depicting images of a same scene, in a computer memory, determining correspondence information relevant to the same scene across the sequence of images, and generating individual intrinsic images for each one of the sequence of images, as a function of the correspondence information.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, generating intrinsic images corresponding to the image, and performing a relationship maintenance process to correct artifacts in the intrinsic images.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, augmenting a preselected area of the image in a manner to decrease a number of token regions representing the preselected area, and identifying token regions in the augmented image.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for determining an illumination flux condition in a scene. The method comprises the steps of generating and storing a sequence of images of the scene, each one of the sequence of images comprising an array of pixels and corresponding to the scene photographed in a preselected polarization direction, different from the polarization direction of other ones of the sequence of images, determining a polarization sequence vector for at least one pixel in the array, as a function of color information for the pixel in the array, among the sequence of images; and utilizing the polarization sequence vector to determine one of a shadowed and lit illumination condition for the at least one pixel.