Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81177
Title: Fabric image recolorization based on intrinsic image decomposition
Authors: Chen, X
Yu, H
George, B 
Li, M
Keywords: Color theme
Fabric design
Image segmentation
Variational model
Yarn structure
Issue Date: 2019
Publisher: SAGE Publications
Source: Textile research journal, 2019, v. 89, no. 17, p. 3617-3631 How to cite?
Journal: Textile research journal 
Abstract: Fabric image recolorization is widely used in assisting designers to generate new color design proposals for fabric. In this paper, a new image recolorization method is proposed. Different from classical image recolorization methods, which need some complicated interactive operations from users, our proposed method can achieve automatic recolorization of images. The proposed method contains three sequential phases: a phase of extracting representative colors from fabric images; an image segmentation phase; and an image reconstruction phase by using given color themes. Integrated with intrinsic image decomposition, a new image segmentation model is designed in a variational framework, and an algorithm is given to solve the model. Our image recolorization results are images that are reconstructed by the composition of the image segmentation results and the given color themes. Numerical results demonstrate that our newly proposed intrinsic image decomposition-based image recolorization method can generate better results than the classical cartoon-and-texture decomposition-based method.
URI: http://hdl.handle.net/10397/81177
ISSN: 0040-5175
EISSN: 1746-7748
DOI: 10.1177/0040517518817051
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

33
Citations as of Nov 13, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.