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Author | Hochang Lee, Sanghyun Seo, Kyunghyun Yoon |
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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. |
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Directional texture transfer with edge enhancement
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.
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A multi-level depiction method for painterly rendering based on visual perception cue
A multi-level depiction method for painterly rendering based on visual perception cueHochang Lee Sanghyun Seo Seungtaek Ryoo Keejoo Ahn Kyunghyun Yoon CAU CGLab AbstractIncreasing the level of detail (LOD) in brushstrokes within areas of int... -
A Novel Color Transfer Algorithm for Impressionistic Paintings
A Novel Color Transfer Algorithm for Impressionistic PaintingsHochang Lee Taemin Lee Kyunghyun Yoon CAU CGLab AbstractExisting color reproduction algorithms achieve image enhancement or visualization by correcting tone and hue. Although thes... -
Image Abstraction with Cartoonlike Shade Representation
Image Abstraction with Cartoonlike Shade RepresentationGyeongrok Lee Hochang Lee Taemin Lee Kyunghyun Yoon CAU CGLab AbstractLuminance quantization, which maps the luminance values of an image to discrete levels, is widely used for image abs... -
Artistic Image Generation for Emerging Multimedia Services by Impressionist Manner
Artistic Image Generation for Emerging Multimedia Services by Impressionist MannerSanghyun Seo Seungtaek Ryoo Kyunghyun Yoon CAU CGLab AbstractIn this article, we propose the rendering framework for painting-like image generation and general... -
Directional texture transfer with edge enhancement
Directional texture transfer with edge enhancementHochang Lee Sanghyun Seo Kyunghyun Yoon CAU CGLab AbstractTexture transfer re-renders a target image with high-frequency information (texture) taken fromparts of a reference image that is mat... -
Directional Texture Transfer
Directional Texture TransferHochang Lee Sanghyun Seo Seungtaek Ryoo Kyunghyun Yoon CAU CGLab AbstractA texture transfer algorithm modifies the target image replacing the high frequency information with the example source image. Previ- ous tex...