Name
Abstract | ||
|---|---|---|
This paper presents a new semi-automatic method for color style transfer between images, which enhances the artistic expression of a image while preserving the content. Our method consists of three steps. (1) We first parse an input image into several semantic objects according to different material properties using interactive algorithms. (2) We search for a proper reference image from library using the semantic information. (3) The dominant colors of the input image and reference image are computed by clustering, and then we propose a constrainted locally linear embedding (CLLE) algorithm to perform color style transfer on the input image. In the experiments, we apply the proposed method to several photos to produce expressive results. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICIP.2011.6115624 | ICIP |
Keywords | Field | DocType |
image artistic expression enhancement,constraint locally linear embedding algorithm,pattern clustering,interactive algorithms,image retrieval,semiautomatic method,color style transfer,image enhancement,image colour analysis,material properties,semantics,clustering algorithms,image segmentation,labeling | Computer vision,Embedding,Pattern recognition,Color histogram,Computer science,Reference image,Image retrieval,Image segmentation,Artificial intelligence,Parsing,Cluster analysis,Semantics | Conference |
Volume | Issue | ISSN |
null | null | 1522-4880 E-ISBN : 978-1-4577-1302-6 |
ISBN | Citations | PageRank |
978-1-4577-1302-6 | 0 | 0.34 |
References | Authors | |
7 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kun Zeng | 1 | 163 | 7.96 |
| Ruimao Zhang | 2 | 325 | 18.86 |
| Xiaodan Lan | 3 | 0 | 0.34 |
| Yan Pan | 4 | 70 | 8.51 |
| Liang Lin | 5 | 3007 | 151.07 |