Abstract: Techniques are described for selective extraction of color attributes from digital images that overcome the challenges experienced in conventional systems for color extraction. In an implementation, a user applies a region selector to a source image to select a portion of the source image for color attribute extraction. A graphics editing system identifies a selected region of the source image as well as visual objects of the source image included as part of the selected region. The graphics editing system iterates through the selected visual objects and extracts color attributes from the visual objects, such as color values, patterns, gradients, gradient stops, opacity, color area, and so forth. The graphics editing system then generates a color palette that includes the extracted color attributes, and the color palette is able to be utilized for various image editing tasks, such as digital image creation and transformation.

Abstract: Embodiments are disclosed for identify a proportional dominant color palette of a vector graphics content and recolor the vector graphics content by editing the proportional dominant color palette. In particular, one method comprises obtaining a vector graphic, determining, by a palette extraction manager, a plurality of colors from the vector graphic, grouping, by the palette extraction manager, the plurality of colors into a plurality of groups based on color characteristics, determining, by the palette extraction manager, a plurality of dominant colors corresponding to the plurality of groups based on a subset of the plurality of colors associated with each group, determining, by the palette extraction manager, a plurality of weights corresponding to the plurality of colors, and generating, by the palette extraction manager, a proportional dominant color palette for the vector graphic based on the plurality of dominant colors and the corresponding plurality of weights.

Abstract: Embodiments are disclosed for identify a proportional dominant color palette of a vector graphics content and recolor the vector graphics content by editing the proportional dominant color palette. In particular, one method comprises obtaining a vector graphic, determining, by a palette extraction manager, a plurality of colors from the vector graphic, grouping, by the palette extraction manager, the plurality of colors into a plurality of groups based on color characteristics, determining, by the palette extraction manager, a plurality of dominant colors corresponding to the plurality of groups based on a subset of the plurality of colors associated with each group, determining, by the palette extraction manager, a plurality of weights corresponding to the plurality of colors, and generating, by the palette extraction manager, a proportional dominant color palette for the vector graphic based on the plurality of dominant colors and the corresponding plurality of weights.

Abstract: Techniques are described for selective extraction of color attributes from digital images that overcome the challenges experienced in conventional systems for color extraction. In an implementation, a user applies a region selector to a source image to select a portion of the source image for color attribute extraction. A graphics editing system identifies a selected region of the source image as well as visual objects of the source image included as part of the selected region. The graphics editing system iterates through the selected visual objects and extracts color attributes from the visual objects, such as color values, patterns, gradients, gradient stops, opacity, color area, and so forth. The graphics editing system then generates a color palette that includes the extracted color attributes, and the color palette is able to be utilized for various image editing tasks, such as digital image creation and transformation.