Work

Superpixel-based Color Transfer

Year: 2019

Type: preprint

Abstract: In this work, we propose a fast superpixel-based color transfer method (SCT) between two images. Superpixels enable to decrease the image dimension and to extract a reduced set of color candidates. We propose to use a fast approximate nearest neighbor matching algorithm in which we enforce the match diversity by limiting the selection of the same superpixels. A fusion framework is designed to transfer the matched colors, and we demonstrate the improvement obtained over exact matching results. Finally, we show that SCT is visually competitive compared to state-of-the-art methods.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1903.06010

Authors: Giraud, Rémi, Ta, Vinh-Thong, Papadakis, Nicolas

Institutions: Centre National de la Recherche Scientifique, Université de Bordeaux, Laboratoire Bordelais de Recherche en Informatique, Institut de Mathématiques de Bordeaux, Institut Polytechnique de Bordeaux

Language: English

Topic: Image Enhancement Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2949776188

Cites: 27

Cited by:

Related to: 10