Bibliographic Details
| Title: |
A vectorization framework for constant and linear gradient filled regions. |
| Authors: |
Kansal, Ruchin1 rkansal@adobe.com, Kumar, Subodh1 subodh@cse.iitd.ac.in |
| Source: |
Visual Computer. May2015, Vol. 31 Issue 5, p717-732. 16p. |
| Subjects: |
Vector graphics, Derivatives (Mathematics), Computer software, Adobe Illustrator (Computer software), Energy function, Pixels |
| Abstract: |
Linear gradients are commonly applied in non-photographic artwork for shading and other artistic effects. It is sometimes necessary to generate a vector graphics form of raster images comprising such artwork with the expectation to obtain a simple output and plug it into a traditional workflow, to be further edited and arranged. Many such workflows support only linear gradients and our goal is to generate a standard vector form of the image that can fit such workflow. This vectorization process should be automatic with minimal user intervention. We present a simple image vectorization algorithm that detects regions of linear gradient in potentially noisy images and reconstructs the vector definition on the basis of that information. It uses a novel interval gradient optimization scheme to derive large regions of uniform gradient. We also demonstrate the technique on noisy and hand-drawn portraits. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |
