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Image vectorization and editing via linear gradient layer decomposition.

Authors :
Du, Zheng-Jun
Kang, Liang-Fu
Tan, Jianchao
Gingold, Yotam
Xu, Kun
Source :
ACM Transactions on Graphics; Aug2023, Vol. 42 Issue 4, p1-13, 13p
Publication Year :
2023

Abstract

A key advantage of vector graphics over raster graphics is their editability. For example, linear gradients define a spatially varying color fill with a few intuitive parameters, which are ubiquitously supported in standard vector graphics formats and libraries. By layering regions filled with linear gradients, complex appearances can be created. We propose an automatic method to convert a raster image into layered regions of linear gradients. Given an input raster image segmented into regions, our approach decomposes the resulting regions into opaque and semi-transparent linear gradient fills. Our approach is fully automatic (e.g., users do not identify a background as in previous approaches) and exhaustively considers all possible decompositions that satisfy perceptual cues. Experiments on a variety of images demonstrate that our method is robust and effective. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07300301
Volume :
42
Issue :
4
Database :
Complementary Index
Journal :
ACM Transactions on Graphics
Publication Type :
Academic Journal
Accession number :
167303983
Full Text :
https://doi.org/10.1145/3592128