Color Image Logic

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Océ Color Image Logic consistently turns imperfect originals into perfect copies (reproduction of text, photos and fine drawings) in color the first time and scans without the need for any user interference. This saves a lot of time since the process of copying and scanning is a very time-consuming task.

Advantages

  • Time-saving and cost-saving
    Scan or copy more in less time and therefore cost
  • Excellent quality scans and copies in color
    • Crystal-clear reproduction of “photos in text”
      through automatic, separate detection of text and photo (including dithering)
    • Optimal reproduction of “mixed” originals (containing text, photos, drawings)
      through separate optimization of all pixels (pixel by pixel)
    • Brilliant reproduction of fine/thin lines (drawings)
      through automatic recognition and optimization of fine lines (1 pixel)
    • Creation of “stainless” scans/copies
      through automatic background compensation
    • Sharp reproduction of photos
      by avoiding the “moiré effect” through automatic dithering
  • Little usage of memory
    through very high compression of bitmaps
  • Increase operator productivity
    Scan or copy without user interference.
  • Reduce wasted media
    Better output quality first-time around

How the technology works

The Océ Color Image Logic system consists of the following components:

  1. Scanning
    The original is fed into the scanner and scanned line by line. Each pixel is converted on a scale of 0 to 255 for red, for green and for blue. this generates a 24-bit RGB image (256 levels per color required 8 bits per colour). From here Océ Image Logic takes over.
  2. Converting
    When a black & white copy is required, the color module converts 24 bit RGB data into a grey scale between 0 – 255. This is to ensure that even the lightest colors’ (e.g. yellow) are made visible with grey scales.
  3. Automatic background compensation
    At this stage the background is eliminated. Essentially this is done by raising the pixel values on the basis of the background level detected. In each line of the pixels, all background levels are set to the same level of RGB. As the background level is adjusted continuously over the whole page, this results in a background-free image.
  4. Filtering segmentation
    The background-free image is now optimised by advanced filtering to enhance weak information, keep small details open en digitally smoothen and soften shaded areas.
  5. Color management module
    In this module the RBG values are converted to CMYK values that serve as input for printing. this is done in two stages:

    • The RGB values are converted to lab values using the scanner profile. Lab is an indepenedent color standard.
    • The lab values are converted to values between 0 and 255 for cyan, magenta, yellow and black. this conversion results in 4 x 8 bits of CMYK data per pixel and takes into account the Océ media profiles for the Océ TCS500.
  6. Halftoning
    This process converts the CMYK images (256 levels per pixel per color) into bitmaps (1 bit per pixel) using the error diffucion technique. In short, the randomly arranged pixels create a visual impression of smooth shades of color, while at the same time ensuring that (weak) lines, solids and text characters are sharply delineated and filled. The optimsied image is now ready for printing.