PTGCF: Printing Texture Guided Color Fusion for Impressionism Oil Painting Style Rendering
Jing Geng, Li'e Ma, Xiaoquan Li, Yijun Yan

TL;DR
This paper introduces PTGCF, a novel image stylization method that enhances impressionist oil painting rendering by effectively integrating stroke texture and color, closely mimicking the artist's style and tonal characteristics.
Contribution
The paper proposes a new stroke rendering technique that considers tonal and color features to improve stylization quality in impressionist oil painting style rendering.
Findings
Validated the effectiveness of PTGCF through experiments.
Better suited for pointillism and natural scene styles.
Less effective for directional brush strokes.
Abstract
As a major branch of Non-Photorealistic Rendering (NPR), image stylization mainly uses the computer algorithms to render a photo into an artistic painting. Recent work has shown that the extraction of style information such as stroke texture and color of the target style image is the key to image stylization. Given its stroke texture and color characteristics, a new stroke rendering method is proposed, which fully considers the tonal characteristics and the representative color of the original oil painting, in order to fit the tone of the original oil painting image into the stylized image and make it close to the artist's creative effect. The experiments have validated the efficacy of the proposed model. This method would be more suitable for the works of pointillism painters with a relatively uniform sense of direction, especially for natural scenes. When the original painting brush…
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Taxonomy
TopicsImage Enhancement Techniques · Advanced Vision and Imaging · Computer Graphics and Visualization Techniques
