Abstract: Methods for rendering font objects include: receiving input identifying an object to be rendered; selecting a data set for rendering the object from: (a) a first data set including font object data in a first format (e.g., trajectory data), and (b) a second data set including font object data in a second format (e.g., outline data); and rendering the object using the selected data set. The data set may be selected based on at least one run time parameter, such as the ppem or space available for the rendering, the desired text size, system resolution, font object complexity, contextual information, etc., to provide a high quality rendered image. Additional data sets (e.g., augmenting data, enhancing data, etc.) may be included to provide more rendering options to further increase the quality of the rendered image under some conditions. The various data sets may be independently created so that each data set can be produced specifically targeted to selected rendering conditions (such as a selected ppem range).

Abstract: Systems and methods are provided for assigning color values to pixels based on object structure. For example, when rendering a writing system symbol on an electronic display, a non-color characteristic of the symbol can be measured and the measurement can be used to select a color value for a pixel associated with the symbol. Legibility of open and closed line-based graphical objects can be increased by inferring spatial depth and distance through application of a color assignment model.

Abstract: Methods for rendering font objects include: receiving input identifying an object to be rendered; selecting a data set for rendering the object from: (a) a first data set including font object data in a first format (e.g., trajectory data), and (b) a second data set including font object data in a second format (e.g., outline data); and rendering the object using the selected data set. The data set may be selected based on at least one run time parameter, such as the ppem or space available for the rendering, the desired text size, system resolution, font object complexity, contextual information, etc., to provide a high quality rendered image. Additional data sets (e.g., augmenting data, enhancing data, etc.) may be included to provide more rendering options to further increase the quality of the rendered image under some conditions. The various data sets may be independently created so that each data set can be produced specifically targeted to selected rendering conditions (such as a selected ppem range).

Abstract: Selectively applying graphical filtering to a portion of an object. One method described herein includes a method including accessing an object to be rendered. At least one characteristic of a portion of the object is determined. A filter is selected that has been pre-specified for the at least one determined characteristic. The filter is applied to the portion of the object, while not applying the filter to at least one other portion of the object.

Abstract: Generating an error from an error metric quantifying differences between reference objects representing characters and representations of the reference objects. One embodiment includes a method which includes accessing a reference object representing a character. One or more reference object characteristics are quantified. The reference object characteristics are related to character structural and color information of at least a portion of the reference object to generate a reference object metric. A representation object of the reference object is accessed. One or more representation object characteristics are quantified to create a representation object metric. The representation object characteristics are related to character structural and color information of a portion of the representation object of the reference object corresponding to the portion of the reference object. An error is calculated based on a difference between the reference object metric and the representation object metric.

Abstract: Optimizing objects output to a user. One method includes accessing a reference object of a character representing an idealized output. A different representation of the reference object is accessed. The reference object is compared to the representation of the reference object to generate an error metric. An optimization is applied to the representation of the reference object. The optimization is directed to causing the representation of the reference object to more closely approximate the reference object. Comparing objects and applying optimizations is repeated until an acceptable representation of the reference object is achieved. The acceptable representation of the reference object is displayed.

Abstract: Methods for rendering font objects include: receiving input identifying an object to be rendered; selecting a data set for rendering the object from: (a) a first data set including font object data in a first format (e.g., trajectory data), and (b) a second data set including font object data in a second format (e.g., outline data); and rendering the object using the selected data set. The data set may be selected based on at least one run time parameter, such as the ppem or space available for the rendering, the desired text size, system resolution, font object complexity, contextual information, etc., to provide a high quality rendered image. Additional data sets (e.g., augmenting data, enhancing data, etc.) may be included to provide more rendering options to further increase the quality of the rendered image under some conditions. The various data sets may be independently created so that each data set can be produced specifically targeted to selected rendering conditions (such as a selected ppem range).

Abstract: A computer-implemented simulated emboldening mechanism for emboldening an input overscaled bitmap to generate an emboldened overscaled bitmap. The simulated emboldening adjusts the number of subpixels to turn on in the direction of emboldening taking into account contextual information regarding surrounding subpixels. Since the emboldening works directly from an overscaled bitmap, and takes such contextual information into account, legibility and readability of the resulting emboldened character is enhanced.

Abstract: Systems and methods are provided for assigning color values to pixels based on object structure. For example, when rendering a writing system symbol on an electronic display, a non-color characteristic of the symbol can be measured and the measurement can be used to select a color value for a pixel associated with the symbol. Legibility of open and closed line-based graphical objects can be increased by inferring spatial depth and distance through application of a color assignment model.

Abstract: Systems and methods are provided for assigning color values to pixels based on object structure. For example, when rendering a writing system symbol on an electronic display, a non-color characteristic of the symbol can be measured and the measurement can be used to select a color value for a pixel associated with the symbol. Legibility of open and closed line-based graphical objects can be increased by inferring spatial depth and distance through application of a color assignment model.

Abstract: A computer-implemented simulated emboldening mechanism for emboldening an input Black and White bitmap to generate an emboldened Anti-Aliasing bitmap. The simulated emboldening adjusts the intensity of the pixel in the direction of emboldening taking into account contextual information regarding surrounding pixels. Since the emboldening is not limited to a Black and White output bitmap, and since the emboldening takes such contextual information into account, legibility and readability of the resulting emboldened character is enhanced.

Abstract: A computer-implemented simulated emboldening mechanism for emboldening an input overscaled bitmap to generate an emboldened overscaled bitmap. The simulated emboldening adjusts the number of subpixels to turn on in the direction of emboldening taking into account contextual information regarding surrounding subpixels. Since the emboldening works directly from an overscaled bitmap, and takes such contextual information into account, legibility and readability of the resulting emboldened character is enhanced.

Abstract: A computer-implemented simulated emboldening mechanism for emboldening an input Black and White bitmap to generate an emboldened Anti-Aliasing bitmap. The simulated emboldening adjusts the intensity of the pixel in the direction of emboldening taking into account contextual information regarding surrounding pixels. Since the emboldening is not limited to a Black and White output bitmap, and since the emboldening takes such contextual information into account, legibility and readability of the resulting emboldened character is enhanced.

Abstract: Methods for rendering font objects include: receiving input identifying an object to be rendered; selecting a data set for rendering the object from: (a) a first data set including font object data in a first format (e.g., trajectory data), and (b) a second data set including font object data in a second format (e.g., outline data); and rendering the object using the selected data set. The data set may be selected based on at least one run time parameter, such as the ppem or space available for the rendering, the desired text size, system resolution, font object complexity, contextual information, etc., to provide a high quality rendered image. Additional data sets (e.g., augmenting data, enhancing data, etc.) may be included to provide more rendering options to further increase the quality of the rendered image under some conditions. The various data sets may be independently created so that each data set can be produced specifically targeted to selected rendering conditions (such as a selected ppem range).

Abstract: Methods for rendering font objects include: receiving input identifying an object to be rendered; selecting a data set for rendering the object from: (a) a first data set including font object data in a first format (e.g., trajectory data), and (b) a second data set including font object data in a second format (e.g., outline data); and rendering the object using the selected data set. The data set may be selected based on at least one run time parameter, such as the ppem or space available for the rendering, the desired text size, system resolution, font object complexity, contextual information, etc., to provide a high quality rendered image. Additional data sets (e.g., augmenting data, enhancing data, etc.) may be included to provide more rendering options to further increase the quality of the rendered image under some conditions. The various data sets may be independently created so that each data set can be produced specifically targeted to selected rendering conditions (such as a selected ppem range).

Abstract: Methods for rendering font objects include: receiving input identifying an object to be rendered; selecting a data set for rendering the object from: (a) a first data set including font object data in a first format (e.g., trajectory data), and (b) a second data set including font object data in a second format (e.g., outline data); and rendering the object using the selected data set. The data set may be selected based on at least one run time parameter, such as the ppem or space available for the rendering, the desired text size, system resolution, font object complexity, contextual information, etc., to provide a high quality rendered image. Additional data sets (e.g., augmenting data, enhancing data, etc.) may be included to provide more rendering options to further increase the quality of the rendered image under some conditions. The various data sets may be independently created so that each data set can be produced specifically targeted to selected rendering conditions (such as a selected ppem range).