Directional texture transfer with edge enhancement

by CGLab posted May 01, 2014
Extra Form
Author Hochang Lee, Sanghyun Seo, Kyunghyun Yoon
Location Computers & Graphics
Volume Volume 35, Issue 1, February 2011, Pages 81–91
Abstract Texture transfer re-renders a target image with high-frequency information (texture) taken fromparts of a reference image that is matched locally to the target image using characteristics such as color. In this paper, we add a directional factor based on the flow of the target image, creating a stroke-like effect that follows edgesmore accurately. In addition, we propose amethod to clearly express object boundaries by considering the effect of the medium on edges in the reference image. We also show how to select an appropriateweight for this directional factor fromthe reference image.We demonstrate the suitability of this improved formof texture transfer for expressing various artistic styles, and compare our resultswith those from previous texture-transfer algorithms. We find that our algorithm can be adapted to texture synthesis as well.
?

Shortcut

PrevPrev Article

NextNext Article

ESCClose

Larger Font Smaller Font Up Down Go comment Print

Directional texture transfer with edge enhancement

Hochang Lee       Sanghyun Seo       Kyunghyun Yoon

CAU CGLab

dttw_big.JPG

Abstract

Texture transfer re-renders a target image with high-frequency information (texture) taken fromparts of a reference image that is matched locally to the target image using characteristics such as color. In this paper, we add a directional factor based on the flow of the target image, creating a stroke-like effect that follows edgesmore accurately. In addition, we propose amethod to clearly express object boundaries by considering the effect of the medium on edges in the reference image. We also show how to select an appropriateweight for this directional factor fromthe reference image.We demonstrate the suitability of this improved formof texture transfer for expressing various artistic styles, and compare our resultswith those from previous texture-transfer algorithms. We find that our algorithm can be adapted to texture synthesis as well.