Abstract: An apparatus of a text image coding and decoding system includes a matching unit to compute a first distance between a symbol of a text image with a reference symbol of a symbol dictionary, to determine whether the symbol matches with the reference symbol according to the first distance and a first reference, and to compute a second distance between the one of the symbols with the reference symbol if the symbol does not match with the reference symbol according to the first distance and the first reference, and to determine whether the symbol matches with the reference symbol according to the second distance and a second reference.

Abstract: An apparatus usable in an image encoding and/or decoding system includes a segmentation unit to convert a first image of a first resolution into a second image of a second resolution, to segment the second image of the second resolution with one or more blocks of a binary mask layer having a foreground and a background, and to convert the segmented second image into a third image of a third resolution as a segmented image.

Abstract: As set forth herein, a computer-implemented method is employed to place personalized text into an image. A location within the image is selected where the text is to be placed, and region is grown around the selected location. The 3D geometry of the surface is estimated proximate to the location and sets of parallel straight lines in the image are identified and selected to define a bounding polygon into which text may be inserted. Optionally, a user is permitted to adjust the bounding polygon once it has been automatically generated.

Abstract: As set forth herein, a computer-implemented method facilitates replacing text on cylindrical or curved surfaces in images. For instance, the user is first asked to perform a multi-click selection of a polygon to bound the text. A triangulation scheme is carried out to identify the pixels. Segmentation and erasing algorithms are then applied. The ellipses are estimated accurately through constrained least squares fitting. A 3D framework for rendering the text, including the central projection pinhole camera model and specification of the cylindrical object, is generated. These parameters are jointly estimated from the fitted ellipses as well as the two vertical edges of the cylinder. The personalized text is wrapped around the cylinder and subsequently rendered.

Abstract: Disclosed is an imaging system including a source generating an x-ray beam, a detector array receiving the x-ray beam and generating projection data, a translatable table configured for disposal of an object thereon and operable to translate in relation to the source and the detector array, the source and the detector array rotating about the translatable table to scan the object, and an image reconstructor electrically coupled to the detector array and configured to reconstruct an image in response to the projection data via an iterative reconstruction technique configured to perform a targeted statistical reconstruction.

Abstract: An apparatus of a text image coding and decoding system includes a matching unit to compute a first distance between a symbol of a text image with a reference symbol of a symbol dictionary, to determine whether the symbol matches with the reference symbol according to the first distance and a first reference, and to compute a second distance between the one of the symbols with the reference symbol if the symbol does not match with the reference symbol according to the first distance and the first reference, and to determine whether the symbol matches with the reference symbol according to the second distance and a second reference.

Abstract: An apparatus of a text image coding and decoding system includes a matching unit to compute a first distance between a symbol of a text image with a reference symbol of a symbol dictionary, to determine whether the symbol matches with the reference symbol according to the first distance and a first reference, and to compute a second distance between the one of the symbols with the reference symbol if the symbol does not match matches with the reference symbol according to the first distance and the first reference, and to determine whether the symbol matches with the reference symbol according to the second distance and a second reference.

Abstract: An apparatus usable in an image encoding and decoding system includes segmentation unit to divide an image into one or more blocks, to segment the blocks into a binary mask layer of a foreground and a background according to a cost optimized function and a feature vector to generate a segmentation image according to the segmented blocks.

Abstract: As set forth herein, a computer-implemented method is employed to place personalized text into an image. A location and region within the image is determined where the text is to be placed. The 3D geometry of the surface is estimated proximate to the location where the text is to be placed. A personalized text string is received. The personalized text string is incorporated into the image to appear as if it is rendered onto the surface or object according to the estimated 3D geometry.

Abstract: An apparatus of a text image coding and decoding system includes a decomposer to decompose image data to extract a stripe image having one or more symbols, a matching unit to match the symbols with reference symbols of a symbol dictionary, and a dynamic symbol caching unit to generate one or more new symbols when the one or more new symbols of the symbols are not included in the symbol dictionary, and to remove the least used one or more of the reference symbols, so that the symbol dictionary is updated as an updated symbol dictionary with the one or more new symbols and without the least used one or more reference symbols.

Abstract: An image processing method of an image processing apparatus, the method includes: discerning pixels to be processed on the basis of a preset reference pixel value in a scanned image that comprises plural pixels; drawing a pixel area including the pixels to be processed from the scanned image on the basis of a preset condition; and selecting whether to apply an image process to the pixels to be processed or the drawn pixel area on the basis of a percentage of the pixels to be processed in the drawn pixel area.

Abstract: Disclosed is an imaging system including a source generating an x-ray beam, a detector array receiving the x-ray beam and generating projection data, a translatable table configured for disposal of an object thereon and operable to translate in relation to the source and the detector array, the source and the detector array rotating about the translatable table to scan the object, and an image reconstructor electrically coupled to the detector array and configured to reconstruct an image in response to the projection data via an iterative reconstruction technique configured to perform a targeted statistical reconstruction.

Abstract: A combined dot density (FM) and dot size (AM) modulation halftoning method and system produces a halftone in which both the density and size of the dots are modulated. In addition to modulating the dot size and density, the halftoning method can also explicitly control the size of dot clusters and different intensity levels.

Abstract: Image data processing methods, hard imaging devices, and articles of manufacture are described. According to one embodiment, an image data processing method includes accessing image data of an image and comprising a plurality of pixels, defining a plurality of subsets of the pixels, defining an overlapping region comprising image data of pixels located adjacent to a boundary intermediate one and an other of the subsets, independently processing the image data of the one and the other of the subsets individually comprising comparing the image data for respective ones of the pixels with a plurality of thresholds corresponding to respective ones of the pixels, and modulating the thresholds of the pixels of the overlapping region using a common modulation pattern for both the processing of the one and the other subsets.

Abstract: An apparatus of a text image coding and decoding system includes a matching unit to compute a first distance between a symbol of a text image with a reference symbol of a symbol dictionary, to determine whether the symbol matches with the reference symbol according to the first distance and a first reference, and to compute a second distance between the one of the symbols with the reference symbol if the symbol does not match matches with the reference symbol according to the first distance and the first reference, and to determine whether the symbol matches with the reference symbol according to the second distance and a second reference.

Abstract: An apparatus usable in an image encoding and/or decoding system includes a segmentation unit to convert a first image of a first resolution into a second image of a second resolution, to segment the second image of the second resolution with one or more blocks of a binary mask layer having a foreground and a background, and to convert the segmented second image into a third image of a third resolution as a segmented image.

Abstract: An apparatus usable in an image encoding and decoding system includes segmentation unit to divide an image into one or more blocks, to segment the blocks into a binary mask layer of a foreground and a background according to a cost optimized function and a feature vector to generate a segmentation image according to the segmented blocks.

Abstract: An apparatus of a text image coding and decoding system includes a decomposer to decompose image data to extract a stripe image having one or more symbols, a matching unit to match the symbols with reference symbols of a symbol dictionary, and a dynamic symbol caching unit to generate one or more new symbols when the one or more new symbols of the symbols are not included in the symbol dictionary, and to remove the least used one or more of the reference symbols, so that the symbol dictionary is updated as an updated symbol dictionary with the one or more new symbols and without the least used one or more reference symbols.

Abstract: An input image is transformed to produce an output image. Pixels occurring at edges that represent detail within the input image are detected to produce an intermediate image. Background fill representing textures of the input image is generated. The background fill and the intermediate image are combined to produce the output image.

Abstract: An input image is transformed to produce an output image. First pixels occurring at edges within the input image are detected. Second pixels that are part of text within the input image are also detected. The first pixels and the second pixels are combined to produce the output image.