Abstract: An example method presents a system for improved image resizing using seam carving. The system may receive a digital image file of an image and determine a target aspect ratio of the image. The system may compute a mask identifying objects in the image, determine a path of pixels extending between a first edge of the image and a second edge of the image using the mask, and remove the path of pixels from the image to generate an edited image. In some instances, the system may output the edited image with a different aspect ratio than the received image using the removed path of pixels. In some instances, the system may process the image from 2, 4, or 8 directions, for example, to balance proportionate amounts of resizing when adjusting the aspect ratio of the image.

Abstract: Adjusting digital images for parallax includes receiving (401) a digital image of an object on a platform from a camera positioned over the platform and adjusting (402) a magnification of a top surface of the object in the digital image based on a height of the object.

Abstract: Adjusting digital images for parallax includes receiving (401) a digital image of an object on a platform from a camera positioned over the platform and adjusting (402) a magnification of a top surface of the object in the digital image based on a height of the object.

Abstract: Systems and methods systems and methods for calibrating field uniformity are disclosed. An exemplary method includes scanning the imaging area including a first media to obtain optical data for a specular reflectance map. The method also includes scanning the imaging area including a second media to obtain optical data for a diffuse reflective map. The method also includes storing the specular reflectance map and the diffuse reflective map for adjusting actual pixel values during an imaging operation.

Abstract: Creating adjusted digital images with selected pixel values includes taking multiple digital images of a view where at least two of the digital images are taken with light from different angles and selecting pixels values from the at least two digital images to create an adjusted digital image.

Abstract: A method and apparatus for converting a color digital image into a grayscale digital image is disclosed. First, each green intensity value in the color digital image is copied into a corresponding pixel location of the grayscale digital image. Then for each red intensity value in the color digital image, the red intensity value is adjusted to match a local dynamic range of green intensity values. The adjusted red intensity value is inserted into the corresponding pixel location of the grayscale digital image. Then for each blue intensity value in the color image, the blue intensity value is adjusted to match a local dynamic range of green intensity values. The adjusted blue intensity value is inserted into the corresponding pixel location of the grayscale digital image.

Abstract: A method and system of digital image enhancement provide controllable emboldening and thinning of image features. The method includes providing an input image, creating an edge map image from the input image, and combining the edge map image with the input image using local clamping to produce an output image. Features of the output image are one of emboldened and thinned.

Abstract: A system includes a light source configured to illuminate a subject with a pattern, a first optical sensor configured to capture a first pattern image and a first object image of the subject, and a processing unit configured to determine elevation data of the subject based on the first pattern image and create a three-dimensional image file based on the first object image and the elevation data of the subject.

Abstract: A system composed of a housing and an arm coupled to the housing. The arm supports a first lamp, a second lamp, and an optical sensor.

Abstract: A method and imaging systems that process images employ image binarization. An image processing system includes a processor, a memory and a computer program stored in the memory and executed by the processor. A scanning system includes a scanner that scans an image source to produce a grayscale image and an image processor that includes a computer program. The respective computer programs include instructions that implement image binarization. The method of image binarization includes generating a solid fills binary image from a grayscale image and generating an edge enhanced binary image from the grayscale image. The method further includes combining the generated binary images to produce a composite binary image and providing the composite binary image as an output binary image.

Abstract: A method of filtering and a degraining filter employ lowest edge activity (LEA) to assign a pixel value in a filtered image. A method of filtering includes selecting a set of pixels that includes a central pixel and pixels surrounding the central pixel from a digital image. The set has a plurality of subsets of pixels where at least one subset includes the central pixel. The method of filtering further includes assigning a value of a corresponding central pixel in a filtered image. The assigned value is a mean value of pixels in an identified subset of the plurality having the LEA. A degraining filter includes a processor, a memory and a computer program having instruction that implement selecting the set, identifying the subset with LEA and assigning the value.

Abstract: A system composed of a housing and an arm coupled to the housing. The arm supports a first lamp, a second lamp, and an optical sensor.

Abstract: An illumination source senses a level of ambient light and determines an illumination waveform to be used to illuminate at least a portion of a document. The rise and the fall time of the illumination waveform are independently controlled.

Abstract: In one embodiment, a calibration surface for an image capture device includes a surface comprising glossy areas and matte areas. In another embodiment, a platen for supporting a document or other object to be imaged in an image capture device includes a flat surface having glossy areas and matte areas thereon. The surface may include, for example, a checkerboard or other pattern of alternating glossy white areas and matte white areas in which each glossy white area is surrounded by matte white areas and each matte white area is surrounded by glossy white areas.

Abstract: A method and apparatus for converting a color digital image into a grayscale digital image is disclosed. First, each green intensity value in the color digital image is copied into a corresponding pixel location of the grayscale digital image. Then for each red intensity value in the color digital image, the red intensity value is adjusted to match a local dynamic range of green intensity values. The adjusted red intensity value is inserted into the corresponding pixel location of the grayscale digital image. Then for each blue intensity value in the color image, the blue intensity value is adjusted to match a local dynamic range of green intensity values. The adjusted blue intensity value is inserted into the corresponding pixel location of the grayscale digital image.

Abstract: Systems and methods systems and methods for calibrating field uniformity are disclosed. An exemplary method includes scanning the imaging area including a first media to obtain optical data for a specular reflectance map. The method also includes scanning the imaging area including a second media to obtain optical data for a diffuse reflective map.

Abstract: A digital image processing method and system converts color images to monochrome images. Color image data is clustered. Centroids of clusters are mapped to monochrome values. The separation of the monochrome levels is adjusted, based on relative significance of corresponding clusters. Color pixels in the clusters are mapped to the adjusted monochrome levels, and the resulting monochrome pixels are rendered.

Abstract: A method of filtering and a degraining filter employ lowest edge activity (LEA) to assign a pixel value in a filtered image. A method of filtering includes selecting a set of pixels that includes a central pixel and pixels surrounding the central pixel from a digital image. The set has a plurality of subsets of pixels where at least one subset includes the central pixel. The method of filtering further includes assigning a value of a corresponding central pixel in a filtered image. The assigned value is a mean value of pixels in an identified subset of the plurality having the LEA. A degraining filter includes a processor, a memory and a computer program having instruction that implement selecting the set, identifying the subset with LEA and assigning the value.

Abstract: A method and imaging systems that process images employ image binarization. An image processing system includes a processor, a memory and a computer program stored in the memory and executed by the processor. A scanning system includes a scanner that scans an image source to produce a grayscale image and an image processor that includes a computer program. The respective computer programs include instructions that implement image binarization. The method of image binarization includes generating a solid fills binary image from a grayscale image and generating an edge enhanced binary image from the grayscale image. The method further includes combining the generated binary images to produce a composite binary image and providing the composite binary image as an output binary image.

Abstract: Disclosed are methods for calibrating the grain and tone scale of partial dot error diffusion halftoning. The methods include a first pass that calibrates the dot size and a second pass that calibrates tone scale.