Abstract: A device to translate an input pixel value to an output pixel value for a current pixel includes a diffusion block to produce a diffusion error to add to the input pixel value to produce a diffused pixel value. In addition, the device includes a feedback modulation block to generate a threshold value, the threshold value determined using a value of an earlier output pixel value, the earlier output pixel value occurring at a predetermined number of pixels prior to the current pixel. Furthermore, the device includes a quantizer to compare the diffused pixel value to the threshold value and based on the comparison to select a value for the output pixel value.

Abstract: Methods, devices and systems for compressing images are provided. One method includes creating halftone mask structures and applying compression coding techniques to arrayed pixels sorted using the halftone mask structures in order to convert an image to a compressed bi-level, halftoned image.

Abstract: A method for improving quality of an image is described. The method includes reconstructing a first image of a sample volume, segmenting the first image to generate a first region and a second region, reconstructing a second image of the sample volume, and generating a final image from a combination of the segmentation, the first image, and the second image.

Abstract: A method for filtering a measurement of density of an object is described. The method includes filtering the measurement of the density and preserving a local average of the measurement and additional measurements when performing the filtering.

Abstract: A method of reconstructing an image includes combining a two-dimensional forward projection function and a three-dimensional stabilizing function to generate an iterative reconstruction algorithm, and using the obtained iterative reconstruction algorithm to perform a multislice Computed Tomography (CT) reconstruction to generate an image.

Abstract: A method for calculating an element of a projection includes calculating an element Ai,j of a projection matrix using at least two different rays through a voxel.

Abstract: A method of reconstructing an image includes substantially minimizing a cost function of the form x ^ = arg ? ? ? min x ? { ? m = 0 M ? ? ? D m ? ( y m , F m ? ( x ) ) + S ? ( x ) } , where {circumflex over (x)} is the value of x which achieves the minimum summation, ym is an integral projection, Fm(x) is an forward projection function, and S(x) is a stabilizing function, to obtain {circumflex over (x)}, and using the obtained {circumflex over (x)} to perform a multislice Computed Tomography (CT) reconstruction to generate an image.

Abstract: A method for improving images of an imaging system including a plurality of detector cells includes assigning a quality factor for each detector cell.

Abstract: A method of reconstructing an image includes performing an iterative CT X-ray image reconstruction using a model including a point spread function (PSF) to reconstruct an image.

Abstract: A combined dot density and size modulation system uses dispersed dot halftoning in conjunction with dot size modulation to produce a halftone image in which both the density and size of the dots are modulated to control overall gray level. The dot density and size modulation system offers advantages over pure dot density modulation systems or pure dot size modulation systems because it allows an extra degree of flexibility which can be used to increase the visual quality of the halftoned pattern and/or increase the robustness of the halftoning to printer artifacts and variations. An input pixel value is used to independently produce a dot density value and a dot size value. The dot density value and dot size values may be obtained from, e.g., look up tables that have been optimized for print quality and printer stability. Dispersed dot halftoning is used to provide a halftone value for the desired pixel location using the dot density value. The dispersed dot halftoning may be, e.g.

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: A method and system for compressing, storing, and retrieving image data includes precoding a number of images, recoding a selection of image data, and decoding the image data to form an image. The precoding step includes decomposing the image into a tiered decomposition and partitioning each tier into a number of tiles. The recoding step includes restreaming the image data based on region of interest, resolution, and/or quality. The decoder may retrieve image data over a network.

Abstract: A multi-slice computed tomography imaging system is provided including a source that generates an x-ray beam and a detector array that receives the x-ray beam and generates projection data. A translatable table has an object thereon and is operable to translate in relation to the source and the detector array. The source and the detector array rotate about the translatable table to helically scan the object. An image reconstructor is electrically coupled to the detector array and reconstructs an image in response to the projection data using a computed tomography modeled iterative reconstruction technique. The iterative reconstruction technique includes determining a cross-section reconstruction vector, which approximately matches the projection data via a computed tomography model. Methods for performing the same are also provided including accounting for extended boundary regions.

Abstract: An imaging system is provided including a source generating an x-ray beam and a detector array receiving the x-ray beam and generating projection data corresponding to at least a scanned portion of an object. An image reconstructor is electrically coupled to said detector array and reconstructs an image of the scanned portion of the object for a full field-of-view in response to said projection data using a dual iterative reconstruction technique. The dual iterative reconstruction technique includes reconstructing the full field-of-view using a first resolution and reconstructing a region-of-interest within the full FOV using a second resolution. A method is also provided for reconstructing an image using projection data from such an imaging system.

Abstract: Methods, devices and systems for compressing images are provided. One method includes creating halftone mask structures and applying compression coding techniques to arrayed pixels sorted using the halftone mask structures in order to convert an image to a compressed bi-level, halftoned image.

Abstract: A device to translate an input pixel value to an output pixel value for a current pixel includes a diffusion block to produce a diffusion error to add to the input pixel value to produce a diffused pixel value. In addition, the device includes a feedback modulation block to generate a threshold value, the threshold value determined using a value of an earlier output pixel value, the earlier output pixel value occurring at a predetermined number of pixels prior to the current pixel. Furthermore, the device includes a quantizer to compare the diffused pixel value to the threshold value and based on the comparison to select a value for the output pixel value.

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.

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 electronic database for image interpolation is generated by a computer. The computer generates a low-resolution image from a training image, a plurality of representative vectors from the low-resolution image, and a plurality of interpolation filters corresponding to each of the representative vectors. The interpolation filters and the representative vectors are generated off-line and can be used to perform image interpolation on an image other than the training image. The database can be stored in a device such as computer or a printer.