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: There is provided a current sense circuit (134). An exemplary current sense circuit (134) comprises a voltage-to-current converter circuit (218) that is adapted to receive a voltage that is proportional to a load current drawn from a battery (110) by a load (202) and to produce a current proportional to the load current, and a current-to-voltage converter circuit (228) that is adapted to receive the current proportional to the load current and to produce a voltage proportional to the load current based on a regulated voltage source (230).

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: Embodiments of the present invention are related to systems and methods of verifying the integrity of transactions that traverse through complex system workflows, and particularly, verifying the integrity of financial and non-financial transactions that traverse through a plurality of financial systems making up one or more system workflows. In one embodiment, a clearing system is disclosed to include a central clearing engine configured for processing a plurality of transactions by retrieving transaction data of at least one transaction of the plurality of transactions from at least one data source based on a selection received. After parsing the transaction data, the central clearing engine may verify transaction data integrity based on the transaction data and determine a result, and generate a report based on the result.

Abstract: An automated, computerized method for processing a video is provided. The method includes providing a video file depicting a video, in a computer memory; providing a video file depicting a video, in a computer memory; scale separating the video file by applying an edge-preserving blurring filter to generate a detail scale-separated video and a level scale-separated video corresponding to the video; temporally blurring the detail scale-separated video and spatially blurring the level scale-separated video; combining the filtered detailed scale-separated video and the filtered level scale-separated video to provide an output video; and outputting the output video for use in a data compression operation.

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: 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: 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 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 defined by image locations, in a computer memory, generating a bi-illuminant chromaticity plane in a log color space for representing the image locations of the image in a log-chromaticity representation for the image, providing a set of estimates for the orientation of the bi-illuminant chromaticity plane and calculating an orientation for each one of the image locations as a function of the set of estimates for the orientation.

Abstract: An automated, computerized method for processing a video is provided. The method includes providing a video file depicting a video, in a computer memory; providing a video file depicting a video, in a computer memory; scale separating the video file by applying an edge-preserving blurring filter to generate a detail scale-separated video and a level scale-separated video corresponding to the video; temporally blurring the detail scale-separated video and spatially blurring the level scale-separated video; combining the filtered detailed scale-separated video and the filtered level scale-separated video to provide an output video; and outputting the output video for use in a data compression operation.

Abstract: An automated, computerized method for processing a video is provided. The method includes providing a video file depicting a video, in a computer memory; scale separating the video file to generate a first scale-separated video and a second scale-separated video corresponding to the video; filtering at least one of the first scale-separated video and the second scale-separated video independent of the other of the first scale-separated video and the second scale-separated video to provide at least one independently filtered video; and compressing the at least one independently filtered video to provide at least one compressed video.

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: 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: 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, organizing information relevant to the image according to a smooth-illumination constraint enforcing a Laplacian filter response such that ?2ƒ(x, y)=0 and utilizing the smooth-illumination constraint to generate an intrinsic image from 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, 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, identifying token regions in the image as a function pixel color comparisons relative to threshold values and varying the threshold values in selected areas of the image.

Abstract: The present description discusses apparatuses and methods for applying straps around a bundle of objects by applying a variable force to tension the strap around the bundle of objects and then actuating a series of cams to control the sealing of the strap around the bundle of objects. The apparatus includes a track assembly extending substantially about a strapping station. The track assembly is adapted to receive a strap and to release the strap during a tensioning operation. An accumulator delivers strap to the track assembly. The accumulator has a strap conveyor system that defines a strap path and an accumulator container adjacent to the strap path. Strap can be accumulated in the accumulator container and subsequently delivered to the track assembly.

Abstract: Systems and methods for determining billing codes and numbers of billing units for time-based medical services. Each medical service is associated with a service type, a start time, and an end time. Embodiments identify medical services associated with the same service type that overlapped and modifying the start time and/or the end time of at least one of the overlapping medical services so that they no longer overlap. A hierarchy is used to rank the service types. Medical services that overlapped and have different service types are identified and overlapping time is subtracted from the duration of a lower ranked one of the medical services. One or more of the medical services are identified as being billable based on a set of billing rules, and a billing code and a number of billable units are identified for each of the billable medical services.