Abstract:
A process for color graphics image processing, related to detection and segmentation of sweeps, is provided. An input graphics image is transformed into a three-dimensional histogram in an appropriate color space 104 (e.g., CIELUV). Two-dimensional histograms are estimated from the three-dimensional histogram 106. The two-dimensional histograms are processed to detect and segment sweeps 108. Sweep segment information from the processing of the two-dimensional histograms is combined 110. The combined sweep segment information is used to process the input graphics image to identify and segment sweeps 112. Post-processing may be optionally and selectively used to reject false alarms (i.e., areas falsely identified as sweeps) 114.
Abstract:
A platen cover for an imaging device such as a copier or scanner includes a substrate and at least of portion of the surface of the substrate is coated with a fluorescent coating. Preferably, the substrate has a dark or black color. The dark color of the substrate substantially reduces or eliminates show through of an image on the backside of an original document when the platen cover is not exposed to a light source for imaging. At the same time, when holes or uneven borders are present in the original document, the fluorescent coating fluoresces upon exposure to the light source at these regions of the original document, making these portions appear white in the replicated image and thereby substantially reducing or eliminating the unsightly appearance of these portions as black portions in the replicated image.
Abstract:
A method and system for image processing, in conjunction with classification of images between natural pictures and synthetic graphics, using SGLD texture (e.g., variance, bias, skewness, and fitness), color discreteness (e.g., R_L, R_U, and R_V normalized histograms), or edge features (e.g., pixels per detected edge, horizontal edges, and vertical edges) is provided. In another embodiment, a picture/graphics classifier using combinations of SGLD texture, color discreteness, and edge features is provided. In still another embodiment, a “soft” image classifier using combinations of two (2) or more SGLD texture, color discreteness, and edge features is provided. The “soft” classifier uses image features to classify areas of an input image in picture, graphics, or fuzzy classes.
Abstract:
An adaptive filtering method and apparatus for descreening a scanned halftoned image representation is disclosed. The apparatus includes an image input subsystem; a processing subsystem for processing halftoned image data provided by the image input subsystem; and software/firmware means operative on the processing subsystem for a) low-pass filtering a halftoned input pixel value provided by the image input subsystem to produce a low-pass filtered pixel value; b) notch-filtering the halftoned input pixel value to produce a notch-filtered pixel value; c) determining a local contrast value for the halftoned input pixel value; and d) producing a descreened output pixel value based on the low-pass filtered pixel value, the notch-filtered pixel value, or a combination of the low-pass filtered pixel value and the notch-filtered pixel value depending on the local contrast value.
Abstract:
The present invention is a method and apparatus to minimize and prevent blooming problems in color image systems. Particular applicability is found where an image on image system is employed. The invention is inserted into the colorant driving signal path of the system. The invention places an averaging circuit in the path of one or more colorant driving signal streams. The averaging circuit produces an average value signal representative of a small area of its respective colorant. A modulator or other signal varying device responsive to the average value signal is placed in the path of yet another but separate colorant driving signal stream. In this manner the separate colorant driving signal is modulated or varied in response to the average neighboring value of a different color thus minimizing and preventing image blooming.
Abstract:
An encoding/compression technique using a combination of predictive coding and run length encoding allows for efficient compression of images produced by error diffusion.
Abstract:
A method of arbitrary image resolution conversion takes an original print ready image at a first resolution and orientation and simulates printing of that image by creating a representation of a page at a particular resolution and orientation using a suitable spot model for the reconstruction function. The image is then filtered with a low pass filter and sampled with an aperture that corresponds to the desired output. The image data, which may be definable at several bits per pixel, is then made print-ready by reducing the number of bits defining each pixel to a valid output state. The reduction step is accomplished through error diffusion methods that maintain the local area gray density level. The filtering step reduces moire in the converted image.
Abstract:
Apparatus for removing residual charged particles from a charge retentive surface characterized by a particle removal roller and a detoning roller, the former of which is adapted to remove the residual particles from the charge retentive surface and the latter of which removes the particles transferred to the particle removal roller. The detoning roller comprises an array of conductive electrodes extending about the circumference thereof such that when a multi-phase power source is applied thereto a travelling electrostatic wave is generated which causes charged particles having a predetermined diameter and charge to be moved axially of the detoning roller towards one end thereof. The particles so moved represent toner devoid of paper debris. Thus they are suitable for reuse.
Abstract:
A system and method for classifying an image block of a printed image into contone, halftone, or error diffusion classes, includes scanning the printed image; selecting an n by n block of pixels from the scanned image in a luminance channel; calculating an array of DCT coefficients of the pixel block, wherein the calculated DCT coefficients are representative of spatial frequency and spatial orientation of the pixel block; comparing the array of DCT coefficients with an array of predetermined values, wherein the array of predetermined values are indicative of contone, halftone and error diffusion classes; and determining the image classification of the pixel block based on the comparison of the DCT coefficients with the array of predetermined values. If the image is determined to be halftone, then the method further evaluates the DCT coefficients to determine the frequency of the halftone screen.
Abstract:
An annular window-shaped structuring element is provided for image processing to remove speckles from a scanned image. The window-shaped structuring element is composed of two differently sized squares sharing the same geometric center-point. The pixel to be analyzed with the structuring element is at the center-point. The structuring element is used in a method to remove speckles from binary, grayscale, and/or color images by first eroding the image, detecting speckles relative to other pixels in the image, and removing declared speckles. The method may additionally include a halftoning module to protect halftone images.