Image Vectorization via Gradient Reconstruction
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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and John Wiley & Sons Ltd.
Abstract
We present a fully automated technique that segments raster images into smooth shaded regions and reconstructs them using an optimal mix of solid fills, linear gradients, and radial gradients. Our method leverages a novel discontinuity-aware segmentation strategy and gradient reconstruction algorithm to accurately capture intricate shading details and produce compact Bézier curve representations. Extensive evaluations on both designer-created art and generative images demonstrate that our approach achieves high visual fidelity with minimal geometric complexity and fast processing times. This work offers a robust and versatile solution for converting detailed raster images into scalable vector graphics, addressing the evolving needs of modern design workflows.
Description
CCS Concepts: Computing methodologies → Image processing
@article{10.1111:cgf.70055,
journal = {Computer Graphics Forum},
title = {{Image Vectorization via Gradient Reconstruction}},
author = {Chakraborty, Souymodip and Batra, Vineet and Phogat, Ankit and Jain, Vishwas and Ranawat, Jaswant Singh and Dhingra, Sumit and Wampler, Kevin and Fisher, Matthew and Lukác, Michal},
year = {2025},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.70055}
}