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.

Abstract: An automated, computerized method is provided for processing an image. The method includes the steps of arranging a digital camera on a vehicle body, operating the digital camera to provide an image file depicting an image of a scene related to vehicle operation on a road, in a computer memory, receiving from the memory the image file depicting pixels of an image of the scene related to vehicle operation on a road, and using an analysis of the pixels to generate an illumination invariant image of the scene. A further process step includes using the illumination invariant image to analyze the road scene for painted road markings.

Abstract: An automated, computerized method is provided for processing an image. The method includes the steps of arranging a digital camera on a vehicle body, operating the digital camera to provide an image file depicting an image of a scene related to vehicle operation on a road, in a computer memory, receiving from the memory the image file depicting pixels of an image of the scene related to vehicle operation on a road, and using an analysis of the pixels to generate an illumination invariant image of the scene. The illumination-invariant image is converted to a grayscale image and the grayscale image is then converted to an illumination-invariant color 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 shadow edges in the image, computing gradient information for the image and modifying the gradient information relative to the shadow edges for improved performance of computer functionality in an image processing operation.

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, 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, at a computer system, receiving an image recorded at and transmitted from a remote source, at the computer system, processing the transmitted image, for segregation of the transmitted image into a corresponding intrinsic image and, at the computer system, processing the corresponding intrinsic image to perform a preselected task, for a result. As a further feature of the first exemplary embodiment of the present invention, the remote source comprises a cell phone or remote computer system.

Abstract: A soft, weighted constraint imposed upon image locations can be used to provide a more accurate segregation of an image into intrinsic material reflectance and illumination components. The constraint is arranged to constrain all color band variations between the image locations into one integral constraining relationship.

Abstract: An automated, computerized method is provided for processing an image. The method includes the steps of arranging a digital camera on a vehicle body, operating the digital camera to provide an image file depicting an image of a scene related to vehicle operation on a road, in a computer memory, receiving from the memory the image file depicting pixels of an image of the scene related to vehicle operation on a road, and using an analysis of the pixels to generate an illumination invariant image of the scene. A further process step includes using the illumination invariant image to analyze the road scene for painted road markings.

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, 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: A soft, weighted constraint imposed upon image locations can be used to provide a more accurate segregation of an image into intrinsic material reflectance and illumination components. The constraint is arranged to constrain all color band variations between the image locations into one integral constraining relationship.

Abstract: An automated, computerized method is provided for processing an image. The method includes the steps of arranging a digital camera on a vehicle body, operating the digital camera to provide an image file depicting an image of a scene related to vehicle operation on a road, in a computer memory, receiving from the memory the image file depicting pixels of an image of the scene related to vehicle operation on a road, and using an analysis of the pixels to generate an illumination invariant image of the scene. A further process step includes using the illumination invariant image to analyze the road scene for painted road markings.

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, 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: An automated, computerized method is provided for processing an image. 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: An automated, computerized method is provided for processing an image. The method includes the steps of arranging a digital camera on a vehicle body, operating the digital camera to provide an image file depicting an image of a scene related to vehicle operation on a road, in a computer memory, receiving from the memory the image file depicting pixels of an image of the scene related to vehicle operation on a road, and using an analysis of the pixels to generate an illumination invariant image of the scene. A further process step includes using the illumination invariant image to analyze the road scene for painted road markings.

Abstract: A soft, weighted constraint imposed upon image locations temporally spaced in frames of a video, can be used to provide a more accurate segregation of an image into intrinsic material reflectance and illumination components. The constraint is arranged to constrain all color band variations between the image locations into one integral constraining relationship.

Abstract: A method and system comprising image processing techniques is provided that utilize spatio-spectral information relevant to an image, derived from multiple sets of selectively varied representations of the image to accurately and correctly identify illumination and material aspects of the image. In an exemplary embodiment of the present invention, a scale-spaced pyramid arrangement is provided to preserve the purity of color from scale to scale, to insure accuracy in the identification of illumination and material aspects of 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, 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 for manipulating an image comprises the steps of manipulating the image to provide an intensity adjusted image, deriving a bi-illuminant dichromatic reflection model representation of the image and utilizing the bi-illuminant dichromatic reflection model representation to manipulate the intensity adjusted image to generate a color correct intensity adjusted image. In a preferred embodiment of the present invention, the step of manipulating the image to provide an intensity adjusted image is carried out by executing a gamma correction method.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method for manipulating an image comprises the steps of deriving a bi-illuminant dichromatic reflection model representation of the image, and utilizing the bi-illuminant dichromatic reflection model representation to manipulate 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 represented in a spatial plane, organizing spatio-spectral information for the image in a matrix equation expressed by normal and tangential constraints determined as a function of a spatial orientation of selected image locations, relative to the spatial plane of the image and utilizing the matrix equation to solve for an intrinsic image corresponding to the image.