Adobe, Inc.

Jun Xie

Holger Winnemoeller

Wilmot Wei-Mau Li

Aaron Phillip Hertzmann

Stephen N Schiller

Enhanced vectorization of raster images is described. An image vectorization module converts a raster image with bitmapped data to a vector image with vector elements based on mathematical formulas. In some embodiments, spatially-localized control of a vectorization operation is provided to a user. First, the user can adjust an intensity of a denoising operation differently at different areas of the raster image. Second, the user can adjust an automated segmentation by causing one segment to be split into two segments along a zone marked with an indicator tool, such as a brush. Third, the user can adjust an automated segmentation by causing two segments to be merged into a combined segment. The computation of the vector elements is based on the adjusted segmentation. In other embodiments, semantic information gleaned from the raster image is incorporated into the vector image to facilitate manipulation, such as joint selection of multiple vector elements.

Enhanced vectorization of raster images

Methods for providing drawing assistance to a user sketching an image include geometrically correcting adjusting user strokes to improve their placement and appearance. In particular, one or more guidance maps indicate where the user 'should' draw lines. As a user draws a stroke, the stroke is geometrically corrected by moving the stroke toward a portion of the guidance maps corresponding to the feature of the image the user is intending to draw based feature labels. To further improve the user drawn lines, parametric adjustments are optionally made to the geometrically-corrected stroke to emphasize 'correctly' drawn lines and de-emphasize &#x201c;incorrectly&#x201d; drawn lines.

Providing drawing assistance using feature detection and semantic labeling

Methods for providing drawing assistance to a user sketching an image include geometrically correcting and parametrically adjusting user strokes to improve their placement and appearance. As a user draws a stroke, the stroke is geometrically corrected by moving the stroke toward a feature of the image the user is intending to draw. To further improve the user strokes, parametric adjustments are made to the geometrically-corrected stroke to emphasize 'correctly' drawn lines and de-emphasize 'incorrectly' drawn lines.

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Seattle, WA, United States of America

Jun Xie