Abstract: A method for processing a print job includes: a) processing printer description language (PDL) image data for a select page of a print job to form raster image data for the select page, processing of the PDL image data and storing the raster image data in a RIP orientation; b) processing the raster image data for the select page to form bitmap image data for the select page, transforming the raster image data from the RIP orientation to a print orientation and storing the bitmap image data in the print orientation; and c) printing the bitmap image data arranged in the print orientation on a target substrate page to form a printed substrate page for the select page of the print job. A printing platform associated with the method includes a storage device, a RIP module, a rotator module, and a print engine.

Abstract: The image data processing system and method disclosed, processes intermediate compressed binary data representing images scanned for copy or exporting, thereby enabling storage of the copy or export file to a common memory storage device. According to an exemplary embodiment, the image data processing system comprises a binary lossless decompress module, a binary to contone restoration module, and an export processing module, the export processing module processing multiple bit image data for exporting to an image data receiving device.

Abstract: A system calculates appropriate billing within an imaging pipeline. An input component receives an image that is described as a plurality of pixels. A PDL component receives the image and determines a location, a color and a designation for each of the one or more pixels. A marking engine modifies the one or more pixels based at least in part on the location and the color provided by the PDL component and places each of the one or more pixels as a monochrome or a composite pixel on a substrate. An analysis component counts the number of monochrome and composite pixels placed on the substrate by the marking engine, the number of composite pixels that include a designation are counted as monochrome. A billing component calculates the cost for placing each of the monochrome and the composite pixels counted by the analysis component.

Abstract: One embodiment is a method for suppressing background inaccuracies in binary to grayscale image conversion. A binary image is converted to a grayscale image using a neighbor map. An image enhancement function is applied to the grayscale image to suppress background inaccuracies in the grayscale image. Another embodiment is method for converting a binary pixel of a binary image to a grayscale pixel of a grayscale image and suppressing noise in the grayscale image using selective filtering of the binary image. Another embodiment is a method for converting a binary image to a first grayscale image and suppressing noise in the first grayscale image to produce a noise suppressed grayscale image using selective filtering of the first grayscale image.

Abstract: A method and system reconstructs a contone image from a binary image by first tagging pixels to identify one of a multiplicity of image content types. The tag information and the pattern of bits surrounding the pixel to be converted to a contone value are used to reconstruct a contone image from a binary image. The pattern of bits in the neighborhood is used to generate a unique identifier. The unique identifier is used as the address for a lookup table with the contone value to be used wherein each lookup table corresponds to an image context type.

Abstract: A method and apparatus for generating an options enablement sheet to activate options for an image production device is disclosed. The method may include receiving a request to generate an options enablement sheet, receiving options enablement and image production device information, encoding the options enablement and image production device information into one or more machine-readable markings, generating an options enablement sheet that includes the one or more machine-readable markings, receiving a transmission mode selection, and transmitting the options enablement sheet to a user of the image production device using the selected transmission mode. The options enablement sheet may be received by a user and scanned by the image production device to activate the options.

Abstract: The present invention is a method and apparatus for processing image data to accomplish tuning or adjustment of images, so as to modify at least the darkness thereof, using compact, efficient methods and designs.

Abstract: A method and apparatus for transmitting image production device-related information to a remote service facility is disclosed. The method may include receiving a request to transmit image production device-related information to a remote service facility, image production device-related information being at least one of registration information, diagnostic information, account information, copy count information, alert information, fault information, configuration information, and update information, receiving the image production device-related information, encoding the image production device-related information into one or more machine-readable markings, generating a paper user interface that includes the one or more machine-readable markings, receiving a transmission mode selection, and transmitting the paper user interface to the remote service facility using the selected transmission mode.

Abstract: A method for secure print job management using machine-readable markings in an image production device is disclosed. The method may include receiving a signal to print a secure print job from a user, identifying the user, generating a machine-readable marking based on the identification of the user, storing the secure print job and the generated machine-readable marking, receiving a signal to release the secure print job, retrieving the generated machine-readable marking, scanning the user's machine-readable marking, determining if the information encoded in the user's machine-readable marking matches the information encoded in the generated machine-readable marking; wherein if it is determined that the information encoded in the user's machine-readable marking matches the information encoded in the generated machine-readable marking, printing the secure print job.

Abstract: In various exemplary embodiments, systems include a segmentor to segment text binary image data to a first plane. A subtractor subtracts text binary image from binary image data to generate a non-text binary image data in a second plane. A converter converts non-text binary image data in the second plane into non-text gray scale image data in the second plane. A first compressor compresses the text gray scale image data in the first plane. A second compressor compresses the non-text gray scale image in the second plane.

Abstract: One embodiment is a method for suppressing background inaccuracies in binary to grayscale image conversion. A binary image is converted to a grayscale image using a neighbor map. An image enhancement function is applied to the grayscale image to suppress background inaccuracies in the grayscale image. Another embodiment is method for converting a binary pixel of a binary image to a grayscale pixel of a grayscale image and suppressing noise in the grayscale image using selective filtering of the binary image. Another embodiment is a method for converting a binary image to a first grayscale image and suppressing noise in the first grayscale image to produce a noise suppressed grayscale image using selective filtering of the first grayscale image.

Abstract: A method and system for processing image data provides associated background metadata in a searchable format and reduces file size. MRC techniques are used to process input image data. It is known that the image data may be segmented to generate a background layer representing background attributes of the input image data. A background color value of the background layer is detected, and background metadata representing the color value is generated. The background metadata is associated with the image data (e.g., as a separate file, in the image header, etc.), thereby making the background metadata searchable and reducing the file size of the image data to be stored.

Abstract: What is disclosed is a novel system and method for text vectorization for bitmap images with reduced artificial discontinuities. Dominant points are identified in a bitmap character image. An initial curve is fitted to edge points of the character image in a vicinity of a selected dominant point. A set of boundary parameters in a vicinity of the selected dominant point are estimated based upon the initial curve. The selected dominant point is then classified as one of a sharp dominant point and a smooth dominant point based upon the boundary parameters or alternatively upon predefined classifications produced by an optical character recognition process. Curves are fitted between the selected dominant point and adjacent dominant points. The fitted curves maintain the estimated boundary parameters in the vicinity of smooth dominant points. A vectorized representation of the text character image based upon the fitted curves is produced as output.

Abstract: A method and system reconstructs a contone image from a binary image by first tagging pixels to identify one of a multiplicity of image content types. The tag information and the pattern of bits surrounding the pixel to be converted to a contone value are used to reconstruct a contone image from a binary image. The pattern of bits in the neighborhood is used to generate a unique identifier. The unique identifier is used as the address for a lookup table with the contone value to be used. A filter also generates a contone value. A selector selects between the look-up table contone value and the filter contone value based an image context type.

Abstract: A method and system reconstructs a contone image from a binary image by first tagging pixels to identify one of a multiplicity of image content types. The tag information and the pattern of bits surrounding the pixel to be converted to a contone value are used to reconstruct a contone image from a binary image. The pattern of bits in the neighborhood is used to generate a unique identifier. The unique identifier is used as the address for a lookup table with the contone value to be used wherein each lookup table corresponds to an image context type.

Abstract: A binary resolution conversion apparatus and method is provided. According to one exemplary embodiment, a binary resolution conversion method includes an image processing method comprising a data processing process comprising a first video data input process receiving a first video data group associated with one or more horizontal and vertical edges of an image, and one or more horizontal and vertical thin lines of the image; a second video data input process receiving a second video data group associated with one or more slanted edges and one or more slanted lines of the image, and one or more objects of the image; a tag data input process receiving tag data associated with image edge and image thin line detection data; and a first video data input providing the video data output to a first video data output if the tag data input indicates an image edge or image thin line, otherwise a second video data input providing the video data output.

Abstract: A method and system reconstructs a contone image from a binary image by first tagging pixels to identify one of a multiplicity of image content types. The tag information and the pattern of bits surrounding the pixel to be converted to a contone value are used to reconstruct a contone image from a binary image. The pattern of bits in the neighborhood is used to generate a unique identifier. The unique identifier is used as the address for a lookup table with the contone value to be used wherein each lookup table corresponds to an image context type.

Abstract: A system calculates appropriate billing within an imaging pipeline. An input component receives an image that is described as a plurality of pixels. A PDL component receives the image and determines a location, a color and a designation for each of the one or more pixels. A marking engine modifies the one or more pixels based at least in part on the location and the color provided by the PDL component and places each of the one or more pixels as a monochrome or a composite pixel on a substrate. An analysis component counts the number of monochrome and composite pixels placed on the substrate by the marking engine, the number of composite pixels that include a designation are counted as monochrome. A billing component calculates the cost for placing each of the monochrome and the composite pixels counted by the analysis component.

Abstract: In various exemplary embodiments, systems include a segmentor to segment text binary image data to a first plane. A subtractor subtracts text binary image from binary image data to generate a non-text binary image data in a second plane. A converter converts non-text binary image data in the second plane into non-text gray scale image data in the second plane. A first compressor compresses the text gray scale image data in the first plane. A second compressor compresses the non-text gray scale mage in the second plane.

Abstract: The image data processing system and method disclosed, processes intermediate compressed binary data representing images scanned for copy or exporting, thereby enabling storage of the copy or export file to a common memory storage device. According to an exemplary embodiment, the image data processing system comprises a binary lossless decompress module, a binary to contone restoration module, and an export processing module, the export processing module processing multiple bit image data for exporting to an image data receiving device.