Abstract:
A color printing system manages ICC profiles by controlling ink use without performing the ICC profile creation operations. To obtain an ink limit for an ICC profile, a table associated with the ICC profile is parsed to determine the ink limit. The ink limit is decreased or increased. For an ink limit decrease, a color over the decreased ink limit is adjusted to meet the new ink limit. The ICC profile is updated accordingly. For an ink limit increase, the combination of primary colors are boosted by a percentage amount. Checks are made with regard to the volume-based ink limit and an quality check operation to accepted the boosted amount. The ICC profile is updated accordingly.
Abstract:
Example embodiments relate to creating ICC printer profiles with unorthodox ink limits. A printing device may initially print a color profile chart represented by color combinations that are equal to or below an ink limit and generate a first ICC profile based on the color profile chart. The first ICC profile uses a first color set to map input colors of a source color space to output colors of a destination color space. At least one color of the first color set, however, may be represented by a color combination that exceeds the ink limit and thus the printing device may determine a second color set based on the first color set. For the second color set, each color is represented by a color combination that is equal to or below the ink limit. A second ICC profile may be generated to use the second color set.
Abstract:
An example system includes a processor and a non-transitory computer-readable medium having stored therein instructions that are executable to cause the system to perform various functions. The functions include obtaining a source profile associated with a print job and a destination profile associated with the print job. The functions also include, based on the source profile and the destination profile, generating a color conversion object that maps input colors of a source color space to output colors of a destination color space. In addition, the functions include training a neural network using the color conversion object so as to obtain weights associated with two or more hidden layers of nodes of the neural network. Further, the functions include receiving color data corresponding to pixels of the print job, and converting the color data from the source color space to the destination color space using the neural network.
Abstract:
An example embodiment may involve obtaining a digital image containing a pixel block. An AM halftone may be configured to be applied to the digital image by default. The example embodiment may also involve deriving, from the pixel block, a bitmap defining foreground and non-foreground pixels of the pixel block. The example embodiment may also involve sequentially scanning horizontal lines of the bitmap to identify clusters of foreground pixels. Each pixel in a particular cluster of the clusters of foreground pixels may be either (i) the only pixel in the particular cluster, or (ii) vertically or horizontally adjacent to another pixel in the particular cluster. The example embodiment may also involve, possibly based on the clusters of foreground pixels identified in the bitmap, applying an FM halftone to the digital image, and causing the digital image to be printed with the applied FM halftone.
Abstract:
An example embodiment may involve obtaining (i) an a×b attribute macro-cell, and (ii) a×b pixel macro-cells for each of a luminance plane, a first color plane, and a second color plane of an input image. The a×b pixel macro-cells may each contain 4 non-overlapping m×n pixel cells. The example embodiment may also involve determining 4 attribute-plane output values that represent the 4 non-overlapping m×n attribute cells, 1 to 4 luminance-plane output values that represent the a×b pixel macro-cell of the luminance plane, a first color-plane output value to represent the a×b pixel macro-cell of the first color plane, and a second color-plane output value to represent the a×b pixel macro-cell of the second color plane. The example embodiment may further involve writing an interleaved representation of the output values to a computer-readable output medium.
Abstract:
An example embodiment may involve obtaining an a×b pixel macro-cell from an input image. Pixels in the a×b pixel macro-cell may have respective pixel values and may be associated with respective tags. It may be determined whether at least e of the respective tags indicate that their associated pixels represent edges in the input image. Based on this determination, either a first encoding or a second encoding of the a×b pixel macro-cell may be selected. The first encoding may weigh pixels that represent edges in the input image heavier than pixels that do not represent edges in the input image, and the second encoding might not consider whether pixels represent edges. The selected encoding may be performed and written to a computer-readable output medium.
Abstract:
An example embodiment may involve obtaining an m×n pixel cell from an input image. Each of the m×n pixels in the m×n pixel cell may be associated with at least one color value. An m×n attribute cell may be determined, elements of which may be associated in a one-to-one fashion with respective pixels in the m×n pixel cell. The m×n pixel cell may be compressed in a lossy fashion, and the m×n attribute cell may be compressed in a lossless fashion. Compression of the m×n pixel cell may be based on at least part of the m×n attribute cell. An interleaved representation of the compressed m×n pixel cell and the compressed m×n attribute cell may be written to an output medium.
Abstract:
An example embodiment may involve obtaining an m×n pixel cell from an input image. Each of the m×n pixels in the m×n pixel cell may be associated with at least one color value. An m×n attribute cell may be determined, elements of which may be associated in a one-to-one fashion with respective pixels in the m×n pixel cell. The m×n pixel cell may be compressed in a lossy fashion, and the m×n attribute cell may be compressed in a lossless fashion. Compression of the m×n pixel cell may be based on at least part of the m×n attribute cell. An interleaved representation of the compressed m×n pixel cell and the compressed m×n attribute cell may be written to an output medium.
Abstract:
An example embodiment may involve obtaining an a×b pixel macro-cell from an image with one or more color planes, and an a×b attribute macro-cell. The a×b pixel macro-cell may contain 4 non-overlapping m×n pixel cells, and the a×b attribute macro-cell may contain 4 non-overlapping m×n attribute cells. The pixels in the a×b pixel macro-cell may be associated with respective color values. The example embodiment may also involve determining 4 attribute output values associated respectively with the 4 non-overlapping m×n attribute cells. The example embodiment may further involve determining 1 to 4 color-plane output values for the non-overlapping m×n pixel cells, and writing an interleaved representation of the 4 attribute output values and the determined color-plane output values.
Abstract:
A method for determining a color profile from received raster data and printing the raster data is provided. Color profiles provide a mapping from a color space of the raster data to a color space of the printer, which typically uses CMYK toner or ink. A text color profile may be employed to print crisper text, or a photo color profile may be employed to produce better images. The raster data includes a plurality of raster scan lines containing digital pixel values. The method includes determining a number of sequentially repeated digital pixel values and a number of sequentially non-repeated digital pixel values for the plurality of raster scan lines. A color profile is selected based on a determination between the repeated and non-repeated digital pixel values. An example image forming apparatus that may carry out the method is also provided.