Abstract: In augmented reality (AR) and mixed reality (MR) representations of natural scenes that includes text on different kinds of surfaces, real-time text replacement facilitates user involvement with and appreciation of the natural scenes. Determination of surface curvature using a three-dimensional (3D) camera enables determination of consequent textual distortion and necessary compensation in order to read text accurately. Translation, transliteration, or other modification of text and replacement with that text in a natural scene enables a user to participate more fully in the scene.

Abstract: A 2D image is constructed from constituent 2D images that show different views of the same object. Construction is performed by taking image tiles, referred to as tonal triangles, from the constituent 2D images and combining them using 3D data for the object. The 3D data define a wireframe model comprising triangles, called contour triangles. Two tonal triangles are combined based on neighbor relationships between the contour triangles that correspond to those two tonal triangles. Additional tonal triangles may be combined as desired, until the 2D constructed image is of a size that shows the subject of interest. Compared to conventional processes for stitching and montaging, the process generates a 2D constructed image that is a more accurate presentation of the true area, shape, and/or size of the subject.

Abstract: A wound assessment method which can estimate a moisture level of the wound, and related image capture device. The wound area is imaged at least twice where the wound is illuminated under different illumination light intensities. The first image captured using a relatively low illumination light intensity is analyzed to assess the wound, for example measuring its size, color and texture. The second image captures using a relatively high illumination light intensity (e.g. using a flash) is analyzed to estimate the moisture level of the wound. The moisture level estimation method extracts white connected components from the second image, and estimates the moisture level based on the number, sizes, and centroid distribution of the white connected components. A 3D image of the wound may also be captured, e.g. using a structured-light 3D scanner of the image capture device.

Abstract: A wound assessment method which can estimate a moisture level of the wound, and related image capture device. The wound area is imaged at least twice where the wound is illuminated under different illumination light intensities. The first image captured using a relatively low illumination light intensity is analyzed to assess the wound, for example measuring its size, color and texture. The second image captures using a relatively high illumination light intensity (e.g. using a flash) is analyzed to estimate the moisture level of the wound. The moisture level estimation method extracts white connected components from the second image, and estimates the moisture level based on the number, sizes, and centroid distribution of the white connected components. A 3D image of the wound may also be captured, e.g. using a structured-light 3D scanner of the image capture device.

Abstract: A wound assessment method which can estimate a moisture level of the wound, and related image capture device. The wound area is imaged at least twice where the wound is illuminated under different illumination light intensities. The first image captured using a relatively low illumination light intensity is analyzed to assess the wound, for example measuring its size, color and texture. The second image captures using a relatively high illumination light intensity (e.g. using a flash) is analyzed to estimate the moisture level of the wound. The moisture level estimation method extracts white connected components from the second image, and estimates the moisture level based on the number, sizes, and centroid distribution of the white connected components. A 3D image of the wound may also be captured, e.g. using a structured-light 3D scanner of the image capture device.

Abstract: A method is disclosed of capturing an image of a wound on a subject for wound assessment. The method includes obtaining an image of a portion of the subject with one or more cameras; displaying the image on a display panel on an imaging device; obtaining a stored condition from a memory; obtaining a present condition; comparing the stored condition and the present condition; displaying a crosshair over the image on the display panel when it is decided that the present condition corresponds to the stored condition on the basis of the comparison; receiving an instruction for capturing; and capturing an image of the wound in response to the received instruction.

Abstract: A wound assessment method which can estimate a moisture level of the wound, and related image capture device. The wound area is imaged at least twice where the wound is illuminated under different illumination light intensities. The first image captured using a relatively low illumination light intensity is analyzed to assess the wound, for example measuring its size, color and texture. The second image captures using a relatively high illumination light intensity (e.g. using a flash) is analyzed to estimate the moisture level of the wound. The moisture level estimation method extracts white connected components from the second image, and estimates the moisture level based on the number, sizes, and centroid distribution of the white connected components. A 3D image of the wound may also be captured, e.g. using a structured-light 3D scanner of the image capture device.

Abstract: A method for processing high dynamic range (HDR) images by selecting preferred tone mapping operators and gamut mapping algorithms based on scene classification. Scenes are classified into indoor scenes, outdoor scenes, and scenes with people, and tone mapping operators and gamut mapping algorithms are selected on that basis. Prior to scene classification, the multiple images taken at various exposure values are fused into a low dynamic range (LDR) image using an exposure fusing algorithm, and scene classification is performed using the fused LDR image. Then, the HDR image generated from the multiple images are tone mapped into a LDR image using the selected tone mapping operator and then gamut mapped to the color space of the output device such as printer.

Abstract: A method is disclosed of capturing an image of a wound on a subject for wound assessment. The method includes obtaining an image of a portion of the subject with one or more cameras; displaying the image on a display panel on an imaging device; obtaining a stored condition from a memory; obtaining a present condition; comparing the stored condition and the present condition; displaying a crosshair over the image on the display panel when it is decided that the present condition corresponds to the stored condition on the basis of the comparison; receiving an instruction for capturing; and capturing an image of the wound in response to the received instruction.

Abstract: A document authentication method determines the authenticity of a target hardcopy document, which purports to be a true copy of an original hardcopy document. The method compares a binarized image of the target document with a binarized image of the original document which has been stored in a storage device. The image of the original document is generated by binarizing a scanned grayscale image of the original document. Halftone and non-halftone text areas in the grayscale image area separated, and the two types of text are separately binarized. The non-halftone text areas are then down-sampled. During authenticating, a scanned grayscale image of the target document is binarized by separating halftone and non-halftone text areas and binarizing them separately, and then down-sampling the non-halftone text areas. The binarized images of the target document and the original document are compared to determine the authenticity of the target document.

Abstract: A document authentication method determines the authenticity of a target hardcopy document, which purports to be a true copy of an original hardcopy document. The method compares a binarized image of the target document with a binarized image of the original document which has been stored in a storage device. The image of the original document is generated by binarizing a scanned grayscale image of the original document. Halftone and non-halftone text areas in the grayscale image area separated, and the two types of text are separately binarized. The non-halftone text areas are then down-sampled. During authenticating, a scanned grayscale image of the target document is binarized by separating halftone and non-halftone text areas and binarizing them separately, and then down-sampling the non-halftone text areas. The binarized images of the target document and the original document are compared to determine the authenticity of the target document.

Abstract: A document authentication method determines the authenticity of a target hardcopy document, which purports to be a true copy of an original hardcopy document. The method compares a binarized image of the target document with a binarized image of the original document which has been stored in a storage device. The image of the original document is generated by binarizing a scanned grayscale image of the original document. Halftone and non-halftone text areas in the grayscale image area separated, and the two types of text are separately binarized. The non-halftone text areas are then down-sampled. During authenticating, a scanned grayscale image of the target document is binarized by separating halftone and non-halftone text areas and binarizing them separately, and then down-sampling the non-halftone text areas. The binarized images of the target document and the original document are compared to determine the authenticity of the target document.

Abstract: A method for processing high dynamic range (HDR) images by selecting preferred tone mapping operators and gamut mapping algorithms based on scene classification. Scenes are classified into indoor scenes, outdoor scenes, and scenes with people, and tone mapping operators and gamut mapping algorithms are selected on that basis. Prior to scene classification, the multiple images taken at various exposure values are fused into a low dynamic range (LDR) image using an exposure fusing algorithm, and scene classification is performed using the fused LDR image. Then, the HDR image generated from the multiple images are tone mapped into a LDR image using the selected tone mapping operator and then gamut mapped to the color space of the output device such as printer.

Abstract: A method for decoding digital data in a color barcode having a plurality of data cells, including the steps of: scanning the color barcode of the hardcopy document, separating color image of the color barcode into print primary color planes, computing peaks of each print primary color plane, projecting, for at least one of the print primary color planes, the data cells along a horizontal direction and a vertical direction at the peaks of the at least one of the primary color planes in each direction which represent data cell center locations respectively, and creating a grid where each of its intersection is a respective data cell center location, assigning a color to each grid intersection which corresponds to a respective data cell by examining values of the print primary color planes at such location, and decoding digital data from the data cells based on the respective color assigned to each data cell.

Abstract: A method, including: receiving a request to print a first document from a first application; displaying print settings and an option to maintain print settings (MPS); collecting a time limit, a selection enabling the option to MPS, and a selection enabling a print setting; sending a first print job corresponding to the first document and the print setting to a printer; initiating, in response to the selection enabling the option to MPS, a time window having a duration set to the time limit; receiving a request to print a second document from a second application; identifying a remaining time of the time window; retrieving, in response to the remaining time exceeding zero, the indication of the print setting; and sending, bypassing the printer driver GUI, a second print job corresponding to the second document and the print setting to the printer.

Abstract: A method for controlling printer energy consumption. The method includes identifying, during a first time interval, a quantity of energy consumed by a printer since commencement of the first time interval; generating a comparison by comparing the quantity of energy with a first energy threshold for the first time interval; and invoking an energy saving mode of the printer based on the comparison.

Abstract: A system for producing continuous print jobs, which includes a printing unit which prints an image and a client computer having executable instructions for creating a print job for producing a continuous print job. The executable instructions include activating a continuous print mode from a list of print properties within a printer driver user interface, and wherein the continuous print mode stacks at least two print jobs in a print job queue until instructed to print; sending at least two print jobs to the print job queue; selecting a final print format for each of the at least two print jobs; processing and formatting each of the at least two print jobs into a single combined print job; and printing the single combined print job. The printing unit and the client computer are connected via a network and/or direct connection.

Abstract: A method for decoding digital data in a color barcode having a plurality of data cells, including the steps of: scanning the color barcode of the hardcopy document, separating color image of the color barcode into print primary color planes, computing peaks of each print primary color plane, projecting, for at least one of the print primary color planes, the data cells along a horizontal direction and a vertical direction at the peaks of the at least one of the primary color planes in each direction which represent data cell center locations respectively, and creating a grid where each of its intersection is a respective data cell center location, assigning a color to each grid intersection which corresponds to a respective data cell by examining values of the print primary color planes at such location, and decoding digital data from the data cells based on the respective color assigned to each data cell.

Abstract: A document authentication method determines the authenticity of a target hardcopy document, which purports to be a true copy of an original hardcopy document. The method compares a binarized image of the target document with a binarized image of the original document which has been stored in a storage device. The image of the original document is generated by binarizing a scanned grayscale image of the original document. Halftone and non-halftone text areas in the grayscale image area separated, and the two types of text are separately binarized. The non-halftone text areas are then down-sampled. During authenticating, a scanned grayscale image of the target document is binarized by separating halftone and non-halftone text areas and binarizing them separately, and then down-sampling the non-halftone text areas. The binarized images of the target document and the original document are compared to determine the authenticity of the target document.

Abstract: A document authentication method using block-by-block image comparison is disclosed. An image of an original document and an image of a target document are each segmented into multiple blocks corresponding to paragraphs of text. A first block in the original image is used to search the target image to find a corresponding first block using a cross-correlation method. The position mapping for the first block of the target image is calculated and alterations are detected. Then, for each subsequent block of the original image, a corresponding block of the target document is identified based on the position of the subsequent block of the original image relative to the first block of the original image and the position mapping for the first block of the target image. The corresponding subsequent blocks of the original and target images are compared to detect alterations using a method other than cross-correlation.